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BI Trend Monitor 2020
The world's largest survey of BI trends
BARC Research StudyBI Trend Monitor 2020 Sponsors ©2019 BARC – Business Application Research Center BI Trend Monitor 2020 3
Authors BI Trend Monitor 2020
Larissa Baier Timm Grosser
Senior Analyst Senior Analyst
lbaier@barc.de tgrosser@barc.de
Dr. Carsten Bange Lars Iffert
Founder & CEO Analyst
cbange@barc.de liffert@barc.de
Annika Baumhecker Nikolai Janoschek
Research Analyst Analyst
abaumhecker@barc.de njanoschek@barc.de
Jacqueline Bloemen Patrick Keller
Senior Analyst Senior Analyst
jbloemen@barc.de pkeller@barc.de
Dr. Sebastian Derwisch Ann-Katrin Neeb
Analyst Research Analyst
sderwisch@barc.de aneeb@barc.de
Dr. Christian Fuchs Robert Tischler
Senior Analyst Senior Analyst
cfuchs@barc.de rtischler@barc.de
4 BI Trend Monitor 2020 ©2019 BARC – Business Application Research CenterBI Trend Monitor 2020 Table of Contents
34 | Advanced Analytics/Machine Learning/AI
6 | Foreword
36 | Big Data Analytics
8 | Management Summary 38 | Integrated Platforms for BI and PM
40 |3 Embedded BI and Analytics
11 | Survey Results 42 |3 Data Storytelling
44 |3 Mobile BI
12 | BI Trends Overview
46 |3 Analytics Teams/Data Labs
14 | BI Trends Development
48 |3 Using External/Open Data
16 | The Trends in Detail 50 |3 Cloud BI for Data & Analytics
16 | Master Data/Data Quality Management 52 |3 Data Catalogs
18 | Data Discovery/Visualization 54 |3 Process Mining
20 | Establishing a Data-Driven Culture
22 | Data Governance
56 | Recommendations
24 | Self-Service BI
59 | Sample & Methodology
26 | Data Preparation by Business Users
28 | Data Warehouse Modernization 60 | BARC Company Profile
30 | Agile BI Development
62 | Sponsor Profiles
32 | Real-Time Analytics
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 5Foreword
BI Trend Monitor 2020 Foreword
C
ompanies are in the midst of many due to a lack of data quality or analytical important in addressing these challeng-
profound changes: The amount skills. In addition, there has been an in- es by a broad group of BI and analytics
of data available and the speed of creased focus on data protection since professionals. Their responses provide a
producing new data has been increasing the GDPR came into effect in 2018. Amid comprehensive picture of regional, com-
rapidly for years, and business models as a huge flood of information, companies pany and industry specific differences
well as process improvements increasing- will have to find ways to handle data in and offer up-to-the-minute insights into
ly rely on data and analytics. Against this a way that not only complies with legal developments in the BI market. Our long-
backdrop, a key challenge is emerging: requirements, but also helps to improve term comparisons also show how trends
the efficient and, at the same time, inno- processes and make day-to-day business have developed, making it possible to
vative use of data is only possible when easier. separate hype from stable trends.
T
capabilities for - and the operationaliza- his year we asked 2,865 users, con-
tion of - both analytics and data manage- sultants and vendors for their views Dr. Carsten Bange
ment are ensured. Many companies are on the most important BI trends. The
already reaching their limits with a ‘the Würzburg, Germany, November 2019
BARC BI Trend Monitor 2020 illustrates
more data the better‘ approach and can- which trends are currently regarded as
not fully leverage the benefits they expect
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 7Management Summary
Management
BI Trend Monitor 2020
Summary
The market for BI and data management is For this study we took a unique approach to dustry specific differences and providing com-
constantly changing. As an industry analyst, identifying trends: we asked over 2,800 users, prehensive insights on the BI market. We have
we frequently highlight and predict important consultants and vendors for their views on the condensed the main findings of this study into
topics that have an impact on the agendas of most important BI trends, delivering an up-to- six hot spots in order to contextualize the most
organizations and the people within them. date perspective on regional, company and in- striking differences and continuous trends.
Result Top trending topics Result Best-in-class Result Vendors vs. users
area 1 area 2 companies
Best-in-Class compa- area 3
Trending topics nies
Data quality and master data management Best-in-class companies* attach greater im- In general, vendors, consultants and users
has been ranked as the most important trend portance to all BI trends than organizations have quite a similar view of the importance of
three years in a row now. The stability of this that see themselves as laggards*. However, BI trends. However, perceptions differ when it
trend shows the relevance of having good their perception of some trends is fairly sim- comes to real-time analytics and data prepa-
Data discovery/visualization, data quality/
quality data to be significantly higher than oth- ilar (e.g., data warehouse modernization and ration for business users, which are seen as
master
er trenddata
topicsmanagement and self-service
with a much broader presence self-service BI). considerably more important by users and
are
in thecurrently the reflects
media. It also topics the
BI fact
practitioners
that many Conversely, best-in-class companies and lag- vendors than by consultants. However, users
organizations
identify as theplace
most high emphasistrends
important on their
in gards do not agree on the importance of es- and vendors do not agree when it comes to
master data and data quality management tablishing a data-driven culture. Laggards the relevance of the cloud for data and analyt-
their work. At the other end of the spec-
because they have not reached their goals place much less emphasis on this trend. It ics. Like last year, this is a trend that vendors
trum, data
yet. This labs/science,
trend cloud
is a long-term BI and
mission thatdata
will attach great importance to whereas users
could be argued that laggards might not be
as a product
remain have been
very important voted
and as thetoleast
also refers the aware of the benefits or might not have access seem less enthusiastic. The opposite effect
equally stable significance of data governance,
important of the nineteen trends covered to adequate resources in order to begin the can be observed in relation to data warehouse
which is ranked in fourth position again this data-driven transformation of their company. modernization, which is a trend that users are
in this report.
year. However, best-in-class companies’ emphasis more likely to rate as important. This is also
While data discovery and data visualization on a data-driven culture is especially high. true of establishing a data-driven culture. As a
remain as the second most important trend, Compared to the average of 6.7/10, best-in- very organizational topic, it is understandable
self-service BI - which was ranked third last class companies rated this trend at 7.8/10. that this should be closer to the hearts of us-
year – has dropped to fifth place. Establishing a ers than software providers.
data-driven culture has overtaken self-service
BI, making it the third most important trend.
* Best-in-class companies comprise the top 10 percent in
All top trends represent the key message that terms of achievement of specific BI-related business ben-
managing and leveraging data in organizations efits (e.g. “Faster reporting, analysis or planning” and “In-
needs to combine organizational and techno- creased competitive advantage”) in this survey. Laggards
represent the lowest 10 percent.
logical elements.
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 9Management
BI Trend Monitor 2020
Summary
Result Industry comparison Result Global differences Result Europe
area 4 area 5 area 6
There are some trends that are consid- Observing BI trends from a geographical The importance of BI trends is perceived
ered important consistently across all in- perspective shows a greater tendency in quite differently across European coun-
dustries. This especially applies to data South America to assess trends as im- tries. Eastern Europe in particular places
governance and establishing a data-driv- portant. In comparison, most trends are greater importance on most BI trends
en culture. Nevertheless, the manufactur- generally rated as less important in Eu- than the other European regions. Con-
ing sector rates most BI trends as rather rope. North America and Asia Pacific have versely, the German-speaking region (Ger-
less important than other industries while a rather mixed view on BI trends. This is many, Austria and Switzerland; collective-
the telecommunications industry attaches especially interesting regarding Asia Pacif- ly known as DACH) and France put much
greater importance to most trends. ic, which in recent years attached greater less importance on most trends. The only
Most industries present a mixed view. importance to all trends and seems now exceptions in the DACH region are big
For example, the public sector attaches to have become more conservative in its data analytics and self-service BI: both
great importance to data governance but view. Following the massive development trends are rated as relatively important
deems cloud for data and analytics to be in this region over the last couple of years, compared to the rating of other European
almost irrelevant. some trends that were put into practice regions. The trend that is valued the most
might already have failed to generate in the DACH region is master data/data
These industry-specific differences indi-
practical value, hence becoming less in- quality management.
cate which trends are prioritized, either
teresting. Alternatively, some trends have Overall, the European perception reflects
because they facilitate day-to-day busi-
worked so well that they are now prior- the overall assessment of the top trends
ness in these sectors or because they add
itized. with master data/data quality manage-
value over and beyond that. This might
also explain the finding that the two rel- Other than for Asia Pacific, the rather con- ment, data discovery/visualization, data
atively new topics – process mining and servative view is typical for Europe and governance and establishing a data-driven
data catalogs – are considered unimpor- can be further examined by looking more culture as the most important BI trends.
tant by all industries. closely at the regions within Europe (see
Hot Spot 6).
10 BI Trend Monitor 2020 ©2019 BARC – Business Application Research CenterSurvey Results
BI Trends Overview
Data quality/master data management, data discovery/visualiza-
BI Trends Overview
tion and data-driven culture are the top trends.
Importance of BI trends from “not important at all“ (0) to
“very important“ (10)
Viewpoint
7.3 Master data/DQ mgmt
6.9 Data discovery
We asked users, consultants and software
6.9 Data-driven culture vendors of BI and data management tech-
nology to give their personal rating of the
6.8 Data governance importance of twenty trending topics that
6.5 Self-service BI we presented to them. While the two most
important trends remained the same as
6.3 Data prep. by business users last year with master data and data quality
management in first position and data dis-
5.9 Data Warehouse modernization
covery in second, third spot is now occu-
5.8 Agile BI development pied by establishing a data-driven culture.
This trend, which was newly introduced
5.6 Real-time analytics last year and went straight into fifth place
5.5 Adv. analytics/Machine learning/AI in the rankings, is seen as even more im-
portant this year. Self-service BI, on the
5.5 Big data analytics other hand, went down to fifth place this
year whereas data governance remains in
5.2 Integrated platforms for BI and PM fourth.
5.1 Embedded BI All in all, these five top trends represent
the foundation for organizations to man-
5.1 Data storytelling age their own data and make use of it.
5.1 Mobile BI Furthermore, it demonstrates that organi-
zations are aware of the relevance of high
5.0 Analytics Teams/Data labs quality data and its effective use. These
trends stand for underlying structures
4.9 Using external/open data
being changed: Organizations want to go
4.9 Cloud BI for data and analytics beyond the collection of as much data as
possible and actively use data to improve
4.2 Data catalogs their business decisions. This is also sup-
4.1 Process mining ported by data warehouse modernization,
which is once again in seventh place this
year.
0 Not important at all Very important 10
n = 2865
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 13BI Trends Development
The biggest surge in interest is seen with data-driven culture. BI Trends Development
Development of rankings of BI trends
Viewpoint
2016 2017 2018 2019 2020
1. 1. 1. 1. 1. Master Data/DQ management
2. 2. 2. 2. 2. Data discovery Some trends have slightly increased in
importance since last year (e.g., real-time
3. 3. 3. 3. 3. Data-driven culture analytics and integrated platforms for BI
4. 4. 4. 4. 4. Data governance and PM). However, they all climbed just
5. 5. 5. 5. 5. Self-service BI one rank with the exception of establish-
ing a data-driven culture, which jumped
6. 6. 6. 6. 6. Data prep. by business users two places. Therefore, no huge shift can
7. 7. 7. 7. 7. Data Warehouse modernization be observed in terms of upward trends.
8. 8. 8. 8. 8. Agile BI development The opposite is the case for downward
trends: Mobile BI fell from twelfth to fif-
9. 9. 9. 9. 9. Real-time analytics teenth place this year, continuing its
10. 10. 10. 10. 10. Adv. analytics/Machine learning/AI downward trend that started in 2017. It
11. 11. 11. 11. 11. Big data analytics seems as if the mobile application of BI
functions is not seen as important any-
12. 12. 12. 12. 12. Integrated platforms for BI and PM more, either because it is available now
13. 13. 13. 13. 13. Embedded BI or because requirements have shifted.
14. 14. 14. 14. 14. Data storytelling Advanced analytics/machine learning/AI
is ranked one place lower than last year
15. 15. 15. 15. 15. Mobile BI (down from 9 to 10). More important than
16. 16. 16. 16. 16. Analytics teams/Data labs the difference of one rank however is the
17. 17. 17. 17. 17. Using external/open data tendency behind this slight downward
trend: In 2018, many hopes were based
18. 18. 18. 18. 18. Cloud BI for data and analytics
on new tools using machine learning and
19. 19. 19. 19. 19. Data catalogs artificial intelligence so this topic might
20. 20. 20. 20. 20. Processing mining have been expected to rise. However,
even if we refer to it as a stagnation in
21. perceived importance rather than a “real”
Trend not included in downward trend, this result is surprising.
BI Trend Monitor 2020
n = 2794/2772/2770/2679/2865
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 15Master Data/Data Quality Management
Master Data Management is a major trend in the transport and Master Data/Data
manufacturing sectors, but less important in Southern Europe. Quality Management
Rank of trend
in this region/
Average industry etc.
7.4
Viewpoint
Business user 1
Company/ IT user 7.2 1
User type Consultant 7.0 1 The importance of data quality and mas-
Vendor 6.8 1 ter data management can be explained
More than 2500 empl. 7.5 1 very simply: people can only make the
Company 100 - 2500 empl. 7.3 1
right decisions based on correct data. De-
size cision-making processes and operational
Less than 100 empl. 6.7 3 actions depend on reliable data. Through
Transport 7.7 1 their aggregation mechanisms, BI reports
Manufacturing 7.7 1 and analyses can help to reveal data
7.7 quality issues.
Retail/Wholesale 1
7.6 The goal of master data management is
Telco 1
to bring together and exchange master
Industry Utilities 7.3 1 data such as customer, supplier or prod-
Public sector/Educ. 7.0 3 uct master data across multiple systems.
Services 7.0 1 Aside from a “master” ERP system, many
6.9 companies also work with other CRM or
Financial Services 4
SCM systems, use web services, or need
IT 6.8 3 to merge systems following corporate
Best-in- Best-in-Class 7.5 4 mergers, or to co-operate as partners ef-
class Laggards 6.9 1 fectively.
Asia and Pacific 7.3 3 There are proven concepts for increasing
7.3 data quality and implementing master
Global Europe 1
data management. One example is the
regions North America 7.1 4 Data Quality Cycle, which many software
South America 6.9 5 vendors have implemented in their tools.
Northern Europe 7.5 1 In today’s digital age, in which data is in-
BeNeLux 7.5 1 creasingly emerging as a factor of pro-
7.4
duction, there is a growing need to use
France 2 and produce high quality data to make
European DACH 7.4 1
regions new services and products possible. The
UK & Ireland 7.3 3 critical success factors for sustainable
Eastern Europe 7.1 4 high data quality are defined roles and
6.6
responsibilities, quality assurance pro-
Southern Europe 6 cesses and the continuous monitoring of
the quality of a company’s data.
0 10
n = 2616 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 17Data Discovery/Visualization
Best-in-class companies value data discovery much more than Data Discovery/
laggards do. Visualization
Rank of trend
in this region/
Average industry etc.
Viewpoint
IT user 7.0 3
Company/ Consultant 6.9 2
User type Business user 6.9 2 Data discovery is the business user driven
Vendor 6.4 4 process of discovering patterns and outli-
More than 2500 empl. 7.0 4 ers in data. At least three functional areas
Company 100 - 2500 empl. 6.9 2 are required to efficiently and effectively
size identify patterns and outliers in an iter-
Less than 100 empl. 6.9 1
Telco 7.5 2 ative approach. Business users must be
7.4 well equipped with data preparation fea-
IT 1
7.1 tures to connect to a wide range of sourc-
Public sector/Educ. 2
es, clean, enrich and shape data to pub-
Retail/Wholesale 7.1 3
lish data sets for analytics. These data sets
Industry Services 7.0 3 are explored by visual analysis or sifted by
Financial Services 7.0 2 guided advanced analytics to reliably iden-
Utilities 6.9 2 tify relevant patterns.
Manufacturing 6.6 2 Data discovery is currently evolving along
Transport 6.6 5 two axes to increase efficiency and quali-
Best-in-Class 8.0 1 ty. Improving user guidance and automa-
Best-in-
class Laggards 6.3 4 tion is at the top of the agenda for most
South America 7.8 1 vendors. Machine learning is increasingly
North America 7.4 2 leveraged to guide business analysts and
Global
regions Asia and Pacific 7.1 4 automate tasks through all steps from
Europe 6.7 2
preparation to visualization. New concepts
7.9 for organization and search such as data
Eastern Europe 1
7.7
catalogs and NLQ aim to offer addition-
France 1
al support for power users. Additionally,
Northern Europe 7.1 2
data discovery functions are increasingly
European UK & Ireland 7.1 4
regions being built into analytics and BI platforms
Southern Europe 7.0 3 so findings can be connected and harmo-
BeNeLux 6.8 4 nized throughout the enterprise.
DACH 6.3 3
n = 2629 0 10
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 19Data-Driven Culture
Data-driven culture is most relevant within best-in-class compa-
Data-Driven Culture
nies and in the UK & Ireland, and least relevant in the DACH region.
Rank of trend
in this region/
Average industry etc.
6.7
Viewpoint
Consultant 3
Company/ IT user 6.9 4
User type Business user 6.8 3 One of the biggest shifts in today’s busi-
Vendor 6.2 6 ness world is the transformation from
More than 2500 empl. 7.1 3 isolated and project-oriented data usage
Company Less than 100 empl. 6.8 2 to a completely data-driven enterprise.
size
100 - 2500 empl. 6.7 4 ‘Data-driven’ in this context means that all
7.3 decisions and processes within a business
Retail/Wholesale 2
7.2
are based on data. This concerns simple
Telco 3
key figures like revenue or profit, but also
Financial Services 7.1 1 results from advanced analytics models.
Services 7.0 2 Moreover, both quantitative and qualita-
Industry IT 7.0 2 tive data can be used to support the de-
Public sector/Educ. 6.9 4 cision-making process. While companies
Transport 6.6 4 have always been interested in their num-
6.6 bers, the extent of data use is exercised
Utilities 5
at a higher level within a data-driven cul-
Manufacturing 6.5 5 ture. The main aim is to replace managers’
Best-in- Best-in-Class 7.8 2 gut feelings with data-derived facts and
class Laggards 6.2 6 to empower all employees to actively use
North America 7.7 1 data to enhance their daily work. The goal
South America 7.7 2 is to fully utilize a company’s potential by
Global
regions 7.4 making decisions more successful, initia-
Asia and Pacific 1
tives more effective and competitive ad-
Europe 6.4 4 vantages more striking.
UK & Ireland 7.8 1
However, a data-driven culture should not
Eastern Europe 7.5 3 be interpreted as blindly following num-
Southern Europe 7.3 1 bers. Key focus areas should be to en-
European BeNeLux 7.0 2 hance data interpretation skills and critical
regions
Northern Europe 7.0 3 thinking. This enables businesses not only
France 6.2 7 to base their decisions on reliable data,
5.9 but also to know when it is better not to
DACH 5
do so.
0 10
n = 2619
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 21Data Governance
Very important in UK & Ireland. Less important in the DACH re-
Data Governance
gion and within small companies.
Rank of trend
in this region/
Average industry etc.
7.0
Viewpoint
IT user 2
Company/ Business user 6.6 4
User type Vendor 6.6 3
Consultant 6.5 4
Unlike BI governance, which centers on
7.2 preparing and presenting data for busi-
More than 2500 empl. 2
Company ness management systems, data govern-
100 - 2500 empl. 6.8 3
size ance focuses on the data in all systems
Less than 100 empl. 6.3 6 that are dealing with data. Because busi-
Public sector/Educ. 7.3 1 ness and technical responsibilities are
Transport 7.3 2 traditionally covered on a per system lev-
Telco 7.1 4 el, this overarching view of data needs to
7.0 be specifically addressed, preferably by
Financial Services 3
a central body within the organization.
Industry Services 6.9 4 This ensures broader thinking in terms of
IT 6.7 4 knowledge, organization and technology.
Retail/Wholesale 6.7 4 Data governance is needed as the steer-
Utilities 6.7 4 ing mechanism for data strategy. A proper
Manufacturing 6.6 3 data strategy orchestrates how business
Best-in- Best-in-Class 7.6 3 strategy is translated into data and ana-
class Laggards 6.7 2 lytics. Data strategy manages the exploita-
7.4 tion of data across all business processes
Asia and Pacific 2
to promote business efficiency and inno-
Global North America 7.3 3 vation. Data governance is required to im-
regions South America 6.7 9 plement a data strategy, including policies
Europe 6.6 3 and frameworks to manage, monitor and
UK & Ireland 7.7 2 protect data capital while taking people,
Southern Europe 7.2 2 processes and technologies into account.
France 7.0 3
Establishing data governance is a long-
European 7.0
term endeavor. Most of all, it requires a
Northern Europe 4
regions clear, conscious management decision on
BeNeLux 6.8 3 how to work with and use data.
Eastern Europe 6.7 6
DACH 6.1 4
0 10
n = 2628 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 23Self-Service BI
Self-service BI is especially popular in Eastern Europe, but less
Self-Service BI
popular in Northern Europe and BeNeLux.
Rank of trend
in this region/
Average industry etc.
Viewpoint
IT user 6.6 5
Company/ Consultant 6.5 5
User type Business user 6.4 6
6.3 Self-service BI has been on the wish lists of
Vendor 5
many organizations for years and remains
More than 2500 empl. 6.9 5 a high priority according to our survey
Company 100 - 2500 empl. 6.3 5
size findings. This continuously high demand
Less than 100 empl. 6.3 5 underlines the importance of equipping
Financial Services 6.9 5 modern analytical landscapes according-
Utilities 6.8 3 ly. But a shift has taken place. Companies
6.7 today no longer solely focus on providing
Transport 3
6.6
self-service capabilities to users to serve
Telco 5
their departmental requirements, they
Industry Retail/Wholesale 6.6 5 want to democratize data access while
Public sector/Educ. 6.6 6 ensuring consistent and high-quality data
IT 6.6 5 and results.
Manufacturing 6.5 4 Self-service BI promises quicker and more
Services 6.3 6 efficiently prepared dashboards and re-
Best-in- Best-in-Class 7.1 6 ports by empowering the business users
class 6.5 involved to gain insights from data and
Laggards 3
7.5
make better informed decisions. The
South America 3
number of implementations that allow
Global Asia and Pacific 6.9 5 business users to build their own con-
regions North America 6.6 7 tent is increasing. Not all business users
Europe 6.4 5 actively take part in creating analytics and
Eastern Europe 7.6 2 BI content. Companies understand that
Southern Europe 6.7 4 self-service BI complements serviced or
6.4 ‘silver-service’ BI, which is used for criti-
DACH 2
European cal enterprise-wide content, but does not
France 6.2 6
regions make it redundant. It is important to find
UK & Ireland 6.1 7 the appropriate balance between service
BeNeLux 5.9 5 and self-service for all users and use cas-
Northern Europe 5.5 8 es.
0 10
n=2624 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 25Data Preparation by Business Users
South American companies place the most value on data prepa- Data Preparation by
ration, DACH and the BeNeLux countries much less so. Business Users
Rank of trend
in this region/
Average industry etc.
6.6
Viewpoint
Vendor 2
Company/ Business user 6.5 5
User type IT user 6.3 6
Data preparation describes the process of
Consultant 5.8 7 cleaning, structuring and enriching data
Less than 100 empl. 6.6 4 by business users for use in analytics. The
Company 100 - 2500 empl. 6.3 6 goal of data preparation is to build valua-
size
More than 2500 empl. 6.2 7 ble assets from raw data to help answer
Public sector/Educ. 6.7 5 concrete business questions though ana-
6.5 lytics.
Services 5
6.4 Achieving efficient and agile data prepa-
Transport 6
6.3
ration is of utmost importance in today’s
Utilities 6
volatile economy. It is key to increase the
Industry Financial Services 6.2 7 ability to leverage enterprise and external
Retail/Wholesale 6.2 7 data to inform decisions and to monetize
Manufacturing 6.1 6 data to reduce costs or increase revenues.
Telco 6.1 9 The enduring importance of data prepa-
IT 6.0 7 ration shows that this task is increasingly
7.2 shifting from IT to business users.
Best-in- Best-in-Class 5
class 6.3 To ensure high efficiency and quality with-
Laggards 5
7.3
out sacrificing agility, it is vital to estab-
South America 4
lish collaboration between development
North America 7.0 5
Global resources in IT and the business users
regions Asia and Pacific 6.6 6 involved. Easy-to-use and intuitive tools
Europe 6.0 6 with sophisticated user guidance and au-
Eastern Europe 6.9 5 tomation powered by machine learning
France 6.9 4 are vital to infuse efficiency and quality
6.6 into data preparation efforts. Governing
Southern Europe 5
European distributed data preparation assets can-
Northern Europe 6.4 5
regions not by overvalued. Data catalogs serve as
UK & Ireland 6.3 5 inventories and ensure access to and re-
BeNeLux 5.6 7 use of data. Beyond technology, collabo-
DACH 5.6 7 ration must be promoted to benefit from
democratized access to data.
0 10
n = 2634 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 27Data Warehouse Modernization
Data warehouse modernization is prominent in South America, Data Warehouse
but less important for vendors and small companies. Modernization
Rank of trend
in this region/
Average industry etc.
Viewpoint
IT user 6.1 7
Company/ Business user 5.8 7
User type Consultant 5.8 8
5.2 Older data warehouse landscapes have
Vendor 15
become too complex to support agile de-
More than 2500 empl. 6.3 6 velopment, or too expensive to have their
Company 100 - 2500 empl. 5.9 7
size functionality extended to accommodate
Less than 100 empl. 5.3 13 modern analytics requirements. Further-
Retail/Wholesale 6.3 6 more, the type of implementation for
Financial Services 6.2 6 which many data warehouse landscapes
6.1 were originally designed and optimized
Transport 7
does not cover the way analytics is cur-
Public sector/Educ. 6.0 7 rently moving forward in the direction of
Industry Manufacturing 6.0 7 exploration and operational processing
Utilities 6.0 7 alongside classical BI requirements.
Telco 6.0 10 Now, organizations are beginning to un-
IT 5.8 8 derstand the new challenges and the
Services 5.6 8 potential of alternative methodologies,
Best-in-Class 6.5 8 architectural approaches and utilizing
Best-in-
class 6.1 other technical options such as in-mem-
Laggards 7
ory, cloud storage and data warehouse
South America 6.7 8 automation tools. IT must be prepared for
Global North America 6.1 8 fast-changing analytical requirements, and
regions Asia and Pacific 5.9 13 they must also compete against new and
Europe 5.8 7 cheaper implementation options from ex-
Eastern Europe 6.3 8 ternal service providers. Collaborative ap-
6.2 proaches are needed to cover the increas-
Southern Europe 7
5.9
ing expectations of the business to pull
UK & Ireland 8
European maximum business value from data. It is
France 5.8 8
regions now time to assess historically grown data
DACH 5.7 6 warehouses against present demands
BeNeLux 5.7 6 and evaluate how updated hardware and
Northern Europe 5.6 7 technology could make life easier.
n = 2619 0 10
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 29Agile BI Development
South America leads the way. This trend is much less important
Agile BI Development
in BeNeLux countries and the DACH region.
Rank of trend
in this region/
Average industry etc.
6.1
Viewpoint
Consultant 6
Company/ Vendor 5.6 11
User type Business user 5.6 10
5.6 The term “agile” has increasingly been adopt-
IT user 9
ed in the context of business intelligence in
More than 2500 empl. 6.1 8 recent years. Originally referring to a soft-
Company Less than 100 empl. 5.6 8 ware development methodology, the “agile”
size moniker is now often used as a requirement
100 - 2500 empl. 5.5 8
6.3 when developing new data models, reports,
Telco 7
dashboards or visualizations within a us-
IT 6.0 6 er-centric system designed for data-driven
Financial Services 6.0 8 insights. Arguably, most users requesting
Services 5.8 7 “agile BI” use this term to express their ex-
5.7 pectation that older, historically grown BI
Industry Transport 9 systems and BI organizations quickly sup-
Retail/Wholesale 5.7 10 port changes to business processes in a bal-
Utilities 5.6 11 ancing act between “self-service” and stand-
Manufacturing 5.6 8 ardized projected development.
Public sector/Educ. 5.6 9 Agile BI requires organizations to adopt
6.7
an iterative development approach with
Best-in- Best-in-Class 7 close collaboration between business and
class Laggards 5.6 8 IT. Many companies are not set up organi-
South America 6.8 7 zationally for this approach, however, and
Asia and Pacific 6.5 8
some changes to organizational structures
Global may be required. The BI and analytics sys-
regions North America 5.8 10 tem architecture must be able to deliver
Europe 5.6 8 metadata-based changed components and
Northern Europe 6.3 6 services as lean increments through stand-
6.2 ardized continuous delivery pipelines. Ideal-
France 5
ly, the agile BI development approach is also
UK & Ireland 6.2 6 supported by agile project management,
European Eastern Europe 5.6 12 which iteratively manages planning, require-
regions
Southern Europe 5.6 12 ments collection and development, but also
5.4 automated testing. Just-in-time business
DACH 8
information modeling combined with agile
BeNeLux 4.9 11 technology for model-driven generation ac-
celerate “time to market”.
0 10
n = 2621 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 31Real-Time Analytics
North America and Asia & Pacific value real-time analytics very
Real-Time Analytics
highly. Northern Europe and DACH see it as less relevant.
Rank of trend
in this region/
Average industry etc.
Viewpoint
Vendor 5.7 9
Company/ Business user 5.7 8
User type IT user 5.7 8 Faster reporting and analysis of data,
Consultant 4.9 14 not only in terms of query performance
Less than 100 empl. 6.0 7 (which is still one of the biggest problems
Company More than 2500 empl. 5.7 11 users experience with their BI tools), is a
size challenge in many companies. There is an
100 - 2500 empl. 5.4 9
increasing need to make data from trans-
Utilities 5.9 8 actional systems available immediately to
Public sector/Educ. 5.9 8 support faster and fact-based operational
Transport 5.8 8 decision-making.
Telco 5.8 12 BI with real-time data refers to the near-im-
Industry IT 5.7 9 mediate processing and provision of in-
5.6 formation about business operations in
Services 9
transactional systems (i.e., streaming). Re-
Manufacturing 5.5 9 al-time analytics is about catching events
Retail/Wholesale 5.5 11 or other new data immediately after their
Financial Services 5.2 12 occurrence and processing them for dis-
Best-in-Class 6.1 12 play (e.g., in an operational dashboard) or
Best-in-
class 5.4 analysis. Constantly increasing amounts
Laggards 9
of data, high-performance computing
North America 6.6 6 time and pattern recognition of events
Global Asia and Pacific 6.6 7 (complex event processing) are just some
regions South America 6.1 13 of the challenges companies now face
Europe 5.0 11 when focusing on BI with real-time data.
Eastern Europe 5.9 10 Like visual BI and predictive analytics, BI
5.8 with real-time data can complement an
UK & Ireland 9
organization’s existing BI strategy to gain
Southern Europe 5.4 13 new insights into data with additional,
European BeNeLux 5.4 8 valuable findings. An organization’s deci-
regions
France 5.3 9 sion-making culture, available skills and
DACH 4.7 15 the identification and promotion of appro-
4.6 priate use cases are key aspects to consid-
Northern Europe 15
er when exploring a real-time analytics
0 10 project.
n = 2635
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 33Advanced Analytics/ Machine Learning/AI
Advanced Analytics is very popular in Eastern Europe. Its Advanced Analytics/
relevance is much lower in France and BeNeLux. Machine Learning/AI
Rank of trend
in this region/
Average industry etc.
6.0
Viewpoint
Vendor 7
Company/ Business user 5.5 12
User type IT user 5.4 10
Advanced analytics and machine learning are
Consultant 5.3 9 important trends among BI decision-makers
More than 2500 empl. 5.9 9 for 2020. Advanced analytics goes beyond
Company Less than 100 empl. 5.4 11 mathematical calculations such as sums and
size averages. It uses mathematical and statistical
100 - 2500 empl. 5.3 10
formulas and algorithms in order to generate
Telco 6.1 8 new information, identify patterns and de-
Retail/Wholesale 5.8 9 pendencies, and calculate forecasts.
Financial Services 5.7 9 The number of possible use cases in this
Utilities 5.7 10 area is immense, and ranges from conduct-
5.6 ing forecasts on income, prices, sales, re-
Industry IT 11
quirements or customer value to preventing
Public sector/Educ. 5.5 10 contract cancellations, forecasting machine
Services 5.5 10 downtime, monitoring and evaluating social
Manufacturing 5.2 13 media, and predictive policing.
Transport 5.1 15 The expansion of advanced analytics and ma-
6.4 chine learning also means changes for line of
Best-in- Best-in-Class 9
business and IT decision-makers and man-
class Laggards 5.3 10 agers. They need to assess which use cases
South America 6.4 11 to tackle with advanced analytics, the level of
Asia and Pacific 6.0 12 priority advanced analytics should have in the
Global
regions 5.7 company as a whole, which roles are required
North America 12 (and with which capabilities), and which tech-
Europe 5.4 9 nology fits best taking account of the IT land-
Eastern Europe 6.6 7 scape and intended users. With the increas-
Southern Europe 6.0 9 ing use and maturity of advanced analytics,
5.5
many companies have now moved on from
UK & Ireland 11 experimentation into more practical, day-to-
European 5.4
regions
Northern Europe 9 day use cases. The operationalization of use
DACH 5.3 9 cases is one of the major challenges here.
BeNeLux 4.8 13
Besides organizational challenges, consider-
ations of bias in algorithmic decision-making
France 4.7 13 and ethical standards for such solutions are
gaining in importance.
0 10
n = 2630 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 35Big Data Analytics
Very important in South America. Less important in France and
Big Data Analytics
for consultants.
Rank of trend
in this region/
Average industry etc.
Viewpoint
Vendor 5.4 14
Company/ Business user 5.7 9
User type IT user 5.4 11
Consultant 4.8 15 While big data has become an omnipres-
More than 2500 empl. 5.8 10 ent term in recent years, and the hype sur-
Company 5.4 rounding it seems to have already peaked,
Less than 100 empl. 12
size the value it can generate is yet to be fully
100 - 2500 empl. 5.3 11
explored. Many organizations are still in
Telco 6.5 6 the process of finding ways to make big
Utilities 5.8 9 data usable and profitable. In this con-
Financial Services 5.6 10 text, big data analytics comes into play by
IT 5.5 13 providing the means to analyze data sets
Industry Manufacturing 5.5 10 from various internal and external sourc-
5.4 es including sensor/IoT, geolocation and
Public sector/Educ. 11
clickstream data. Almost every device or
Services 5.4 11 platform generating data can be used to
Retail/Wholesale 5.4 12 identify patterns and derive added value
Transport 5.3 12 through effectively combined informa-
Best-in- Best-in-Class 6.3 10 tion. Big data analytics is used to support
class Laggards 5.1 11 decision-making and process optimiza-
South America 6.8 6
tion. Therefore, it is applied at both an op-
5.9
erational and strategic level. In that sense,
Global Asia and Pacific 14
effectiveness in data usage becomes in-
regions North America 5.7 11 creasingly important: The challenge is no
Europe 5.3 10 longer how to get hold of data, but how
Southern Europe 6.2 8 to effectively use the massive amounts of
Eastern Europe 5.9 11 data produced every day in order to devel-
DACH 5.3 10 op new products, reduce costs and make
European 5.1 better decisions.
regions Northern Europe 11
UK & Ireland 5.0 14
BeNeLux 4.8 14
France 4.7 14
n = 2628 0 10
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 37Integrated Platforms for BI and Performance Management (PM)
South America on top of the list for integrated platforms. France Integrated Platforms
and financial services companies are less sold on the trend. for BI and PM
Rank of trend
in this region/
Average industry etc.
5.7
Viewpoint
Vendor 10
Company/ Business user 5.5 11
User type Consultant 5.1 10
4.9 Decision-making in an increasingly com-
IT user 15
plex and volatile world needs transpar-
More than 2500 empl. 5.3 13 ent plans and data analyses. Therefore,
Company Less than 100 empl. 5.3 14 the seamless integration of performance
size
100 - 2500 empl. 5.1 12 management (particularly planning) and
IT 5.5 14 analytics functionality is beneficial to sup-
5.4 port decision-making processes optimally.
Telco 13
Best-in-class companies and users know
Utilities 5.4 14 that there can be no transparent deci-
Manufacturing 5.3 11 sion-making without supporting function-
Industry Public sector/Educ. 5.3 13 ality for planning, reporting (e.g., results
Transport 5.2 13 reports), analysis (e.g., analyses of planned
5.2 and actual values) and dashboarding (e.g.,
Retail/Wholesale 14
monitoring). Having all these options in
Services 5.1 16 one common and integrated platform is a
Financial Services 4.7 16 decisive factor for sustained success when
Best-in- Best-in-Class 6.3 11 integrating analytics and performance
class Laggards 4.9 12
management. Consequently, this integra-
6.5
tion has been one of the most stable and
South America 10 relevant trends in the market for years.
Asia and Pacific 6.1 11
Global Integrated platforms for analytics and per-
regions North America 5.4 15 formance management are equally rele-
Europe 5.0 12 vant for all user types, company sizes and
Southern Europe 5.6 11 industries. Best-in-class companies in par-
Northern Europe 5.4 10
ticular have invested heavily in integrating
5.3
analytics and performance management
Eastern Europe 15
processes as well as specialist software
European BeNeLux 5.0 10
regions solutions and the benefits from this effort
DACH 4.9 11 have been empirically proven. Supporting
UK & Ireland 4.9 16 analytics and performance management
France 4.6 16
on an integrated data platform with an in-
tegrated tool is a goal worth investing in.
0 10
n = 2616 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 39Embedded BI
Best-in-class companies are much more aware of the value of embed-
Embedded BI
ded BI than laggards. The UK & Ireland are the most reserved.
Rank of trend
in this region/
Average industry etc.
5.7
Viewpoint
Vendor 8
Company/ Business user 5.2 14
User type IT user 5.0 14
4.9
Embedding intelligence in operational ap-
Consultant 12
plications is growing steadily in popularity.
Less than 100 empl. 5.5 9 From dashboards to prediction and opti-
Company 100 - 2500 empl. 5.1 13 mization models, users can access com-
size
More than 2500 empl. 5.0 16 plementary functions directly in their spe-
IT 5.6 10
cific operational processes and act on the
5.5
findings – closing the classic management
Utilities 12 loop from information to action at an op-
Services 5.1 13 erational level. Embedded BI and analytics
Retail/Wholesale 5.1 15 enables users to derive information rap-
Industry Manufacturing 5.1 14 idly by themselves without having to in-
4.9 volve the IT department or supervisors. In
Financial Services 13
effect, many more people gain access to
Public sector/Educ. 4.9 16 information and BI capabilities, making BI
Transport 4.8 16 more pervasive or “democratic”. Besides,
Telco 4.7 17 it even allows for automated processes
Best-in-Class 6.0 13 where no active user request is needed to
Best-in-
class 4.8 initiate data analysis. However, this oper-
Laggards 14
ationalization of BI and analytics implies
North America 5.6 13 various challenges. For example, sepa-
Global Asia and Pacific 5.6 16 rating the responsibilities of the BI and
regions South America 5.4 20 application teams, delimiting operation-
Europe 4.9 14 al BI from classic BI and data warehous-
5.1 es, or deciding whether to “make or buy”
Southern Europe 16
embedded functions. Also, the broad ap-
Eastern Europe 5.1 17 proach of automating decisions through
Northern Europe 5.0 12 embedded models and rules brings about
European DACH 4.9 12 completely new possibilities and challeng-
regions es. For example, the change in role of the
France 4.7 12
4.7 human being from decision-maker to cre-
BeNeLux 16
ator and supervisor of decision-making
UK & Ireland 4.6 17 models.
0 10
n = 2616 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 41Data Storytelling
A big gap exists between best-in-class companies and laggards
Data Storytelling
as well as between Asia & Pacific and Europe.
Rank of trend
in this region/
Average industry etc.
Viewpoint
Vendor 5.4 13
Company/ Business user 5.3 13
User type Consultant 4.8 16
IT user 4.7 17 Data relies on you to give it a voice, and
5.2 data storytelling is a way of helping to ex-
Less than 100 empl. 15
Company More than 2500 empl. 5.1
plain the meaning of analysis results and
14
size insights gained. Data stories supplement
100 - 2500 empl. 5.0 14 and build on components of visual analy-
Telco 5.9 11 ses, standardized reports and dashboards
IT 5.4 15 such as graphs and tables. They are mod-
Transport 5.3 10 ified, annotated and compiled into a nar-
Public sector/Educ. 5.2 14 rative to form the supporting evidence for
5.2 a well-founded call to action. Stories have
Industry Services 12
a greater emotional impact on us than
Retail/Wholesale 5.1 16 bare numbers, so the communication of
Financial Services 4.8 14 insights and messages can no longer sole-
Manufacturing 4.8 16 ly rely on reports. Engaging and inspiring
Utilities 4.6 18 stories drive action based on solid data.
Best-in- Best-in-Class 6.0 15 Analytics and BI tools are the major gate-
class Laggards 4.6 17 ways to corporate information treasures.
Asia and Pacific 6.3 9 Interactively presenting information and
5.9 stories in these tools allows for high ef-
Global North America 9
ficiency and helps to ensure data quali-
regions South America 5.6 18 ty as well as a high level of trust through
Europe 4.6 17 end-to-end traceability. This enables in-
Eastern Europe 5.9 9 teraction with data, drilling and analyzing
UK & Ireland 5.4 12 details without switching tools or making
BeNeLux 5.0 9 manual adjustments. Interactive analytical
European 4.9 storytelling enhances the credibility of sto-
Southern Europe 19
regions ries and allows executives to gain further
Northern Europe 4.4 17
insights that are cumbersome to glean
DACH 4.4 17 from static, predefined analyses.
France 4.2 17
n = 2609 0 10
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 43Mobile BI
South America and retail/wholesale regard mobile BI as very im-
Mobile BI
portant. BeNeLux is some way behind.
Rank of trend
in this region/
Average industry etc.
Viewpoint
Vendor 5.2 16
Company/ Business user 5.1 15
User type IT user 5.1 12
4.8 Mobile BI – driven by the success of mobi-
Consultant 17
le devices – was considered by many as a
Less than 100 empl. 5.2 16 big wave in BI and analytics in the begin-
Company More than 2500 empl. 5.1 15
size ning of 2010s. Many BI vendors developed
100 - 2500 empl. 5.0 15 native apps to provide analytics on mobile
Retail/Wholesale 5.9 8 devices. However, adoption was very slow
Utilities 5.4 13 and there was a degree of disillusion in
Manufacturing 5.2 12 the market. Our survey results show that
Telco 5.1 15 mobile BI usage has grown by only 20
4.9 percent in the last 8 years. Currently not
Industry IT 18
4.9 even a third of the companies surveyed
Services 17
use mobile BI.
Public sector/Educ. 4.8 17
4.8 In our experience, the most successful mo-
Transport 17
bile deployments are those in which a mo-
Financial Services 4.7 15
bile strategy has already been devised and
Best-in- Best-in-Class 5.9 16 the needs of mobile workers are carefully
class Laggards 4.7 16 addressed with the BI tool. So, for examp-
South America 6.2 12 le, simply copying an existing dashboard
Global Asia and Pacific 5.8 15 to a mobile environment does not fulfill
regions North America 5.2 17 the requirements of all different types of
Europe 4.9 13 users. There is great potential for mobile
Southern Europe 5.7 10
BI to support operational processes while
5.6 simultaneously increasing the penetration
Eastern Europe 13
of BI within organizations. Therefore, it
UK & Ireland 5.0 15
European is not surprising to see the retail, utilities
Northern Europe 4.8 13
regions and manufacturing industries using data
DACH 4.8 14 on mobile devices more frequently than
France 4.7 15 others.
BeNeLux 4.6 18
n = 2622 0 10
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 45Analytic Teams/Data Labs
Analytics teams are prominent in South America, but less relevant Analytic Teams/
to organizations in the DACH region and the manufacturing sector. Data Labs
Rank of trend
in this region/
Average industry etc.
Viewpoint
IT user 5.1 13
Company/ Business user 4.9 17
User type Vendor 4.7 18 Data science is the generic term for pro-
Consultant 4.7 18 cesses that generate knowledge out of data
More than 2500 empl. 5.5 12
using methods from statistics, machine
Company learning and operations research. Data
100 - 2500 empl. 4.8 17
size labs are separate business units, specifical-
Less than 100 empl. 4.7 18 ly designed to conduct data science in an
Financial Services 5.5 11 organization. They offer a space for design
5.4 thinking and experimentation, aside from
Public sector/Educ. 12
established processes in the organization.
Transport 5.3 11 Data labs require investment in personnel
Telco 5.2 14 as well as new technologies to store, pro-
Industry Services 5.1 15 cess and analyze data.
Retail/Wholesale 5.0 17 Against that backdrop, it is not surprising
5.0 that data science and data labs are of in-
IT 16
creasing importance for larger companies.
Utilities 4.9 15 The IT and the financial industries are the
Manufacturing 4.5 17 most likely sectors to adopt data science
Best-in Best-in-Class 6.0 14 and data labs. The financial industry, in
class 4.8 particular, has a long track record of using
Laggards 13
data analytics methods. However, gener-
South America 5.9 14 ally the importance assigned to data labs
Global Asia and Pacific 5.5 17 is much lower compared to advanced an-
regions North America 5.3 16 alytics and machine learning. Labs require
4.7 considerable investment in terms of staff
Europe 16 and infrastructure and not many compa-
Eastern Europe 5.4 14 nies choose to set up data labs to conduct
Southern Europe 5.4 14 data science. Integrating data labs and an-
UK & Ireland 5.1 13 alytics teams poses new challenges and
European 5.1
requires revised organizational approach-
France 10 es to link data labs, IT departments and
regions
Northern Europe 4.7 14 business units. Many companies therefore
BeNeLux 4.6 17 integrate data scientists into IT or line of
DACH 4.5 16 business. This has many advantages, espe-
cially for the operationalization of analytics
0 10 solutions.
n = 2613
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 47Using External/Open Data
Especially relevant in best-in-class companies, but not so much in Using External/
the UK & Ireland and Northern Europe. Open Data
Rank of trend
in this region/
Average industry etc.
Business user 5.0 16
Viewpoint
Vendor 5.0 17
Company/
User type Consultant 4.9 13
IT user 4.8 16 It is no secret that data is becoming in-
Less than 100 empl. 5.2 17 creasingly important to companies. Its val-
Company More than 2500 empl. 4.9 ue continues to rise as more ways to ana-
17
size lyze it emerge. The use of external data to
100 - 2500 empl. 4.8 16 enrich companies’ own data goes far be-
Retail/Wholesale 5.3 13 yond the purchase of address data. Data
Transport 5.2 14 has established itself as a product and ex-
Public sector/Educ. 5.1 15 tends analyses with targeted insights from
IT 4.9 17 social media, customer, market, meteor-
Services 4.8 18
ological, geographical and demographic
Industry data, and even analytical findings. Compa-
Manufacturing 4.8 15
nies can purchase these and many other
Financial Services 4.7 17 types of data for their own analysis from
Utilities 4.7 17 BI generalists, specialist service provid-
Telco 4.6 18 ers and data trade platforms. Open data
Best-in-Class 5.9 17 is used to build business models around
Best-in-
class Laggards 4.5 18 targeted analysis.
South America 5.6 17 The use of external data spans all com-
5.1 pany sizes but there are industries that
Global North America 18
5.0
rely more heavily on it. The transport and
regions Asia and Pacific 18
services industries attach the highest im-
Europe 4.8 15 portance to external data – economic de-
Southern Europe 5.3 15 velopment statistics for medium-term de-
France 5.0 11 velopments, weather data for short-term
BeNeLux 4.9 12 developments and spatial data to opti-
European DACH 4.8 13 mize routing are just a few examples of
regions 4.6 the resources used. Manufacturing relies
Eastern Europe 18
little on external data and telecommunica-
Northern Europe 4.3 18 tions companies actually generate and sell
UK & Ireland 4.3 18 data for use by others.
0 10
n = 2617 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 49Cloud BI
Most relevant in Asia & Pacific. Less popular in Europe, especially
Cloud BI
in France.
Rank of trend
in this region/
Average industry etc.
5.6
Viewpoint
Vendor 12
Consultant 5.0 11
Company/
User type Business user 4.8 18
The global trend of running applications in
IT user 4.5 18 a cloud environment started to branch out
Less than 100 empl. 5.4 10 into the analytics domain about ten or twelve
Company More than 2500 empl. 4.8 18 years ago. Start-ups were founded to disrupt
size 4.7 the established vendors with a platform- or
100 - 2500 empl. 18
software-as-a-service business model. The
IT 5.5 12 incumbent vendors, who typically generated
Services 5.1 14 their revenues from on-premises implemen-
Telco 4.8 16 tations, followed suit and now nearly every
4.8 analytics, CPM and data management vendor
Utilities 16 offers a cloud-based solution.
Retail/Wholesale 4.8 18
Industry Cloud analytics and data management now
Transport 4.7 18 have very similar functional capabilities to
Financial Services 4.6 18 their corresponding on-premises products.
Public sector/Educ. 4.5 19 Licensing is often based on a rental or pay-
4.5
per-use model which reduces the one-off
Manufacturing 18 investment. However, the adoption rate for
Best-in-Class 5.7 18 cloud analytics and data management de-
Best-in-
class Laggards 4.7 15 ployments is still rising very slowly. It is not
Asia and Pacific 6.2 10
the attractiveness of the platform that deters
organizations from moving their analytics
South America 5.6 16
Global landscapes into the cloud. Instead, there are
regions North America 5.5 14 many contributing factors: legal, security and
Europe 4.4 18 privacy concerns, a shortage of best practice
5.6 advice on how to build hybrid or multi-cloud
UK & Ireland 10
architectures, a lack of trust in the vendors,
Eastern Europe 5.3 16 and the desire to keep company data under
Southern Europe 5.0 17 the control of the IT. However, the overarch-
European BeNeLux 4.8 15 ing issue is that analytics leaders prefer to
regions 4.5 bring the analytics to the data, and not the
Northern Europe 16
other way around. As such, organizations
DACH 4.1 18 with much of their data already in the cloud
France 3.8 18 show a much higher cloud affinity than those
with all their data on premises.
n = 2624 0 10
Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 51Data Catalogs
Data catalogs are most important in the South America and least
Data Catalogs
relevant in Northern Europe and France.
Rank of trend
in this region/
Average industry etc.
IT user 4.4 19
Viewpoint
Company/ Vendor 4.3 19
User type Consultant 4.1 19
Business user 4.0 20 Data is essential for BI and analytics and
More than 2500 empl. 4.6 19 thus also for expanding a company’s abil-
Company Less than 100 empl. 4.1 19 ity to respond to change through digitali-
size zation. However, the ability to use data is
100 - 2500 empl. 4.0 20
4.8 no small matter. Unsufficient data hinders
Public sector/Educ. 18
the BI and analytics process and impairs
Transport 4.7 19 value creation from data. The desire for a
Telco 4.6 19 central data store can therefore be great,
Financial Services 4.4 19 but also very complex to implement.
Industry Services 4.3 19 Currently, the solution to these challenges
IT 4.2 19 is seen in the deployment of a data catalog.
Utilities 4.2 20 Data catalogs are designed to register, cat-
Retail/Wholesale 4.0 20 alog and link data in order to make it find-
3.8 able and usable for “everyone”. This helps
Manufacturing 20
to fulfill regulatory as well as business re-
Best-in-Class 5.1 19
Best-in- quirements. This is possible by describing
class Laggards 4.1 19 data objects and their relationships with
South America 5.4 19 metadata without having to physically in-
North America 4.8 19 tegrate data. The use of a data catalog,
Global
regions Asia and Pacific 4.8 19 however, requires a different way of think-
Europe 3.9 19
ing and an awareness that data catalogs
4.4
must be actively maintained. Technology
Eastern Europe 20
can assist this process with connectors to
BeNeLux 4.4 19 different types of sources, workflows, UIs
Southern Europe 4.4 20 and collaboration functions as well as line-
European UK & Ireland 4.2 19 age analysis and cross references.
regions
DACH 3.8 20
France 3.6 19
Northern Europe 3.5 19
0 10
n = 2400 Not important at all Very important
©2019 BARC – Business Application Research Center BI Trend Monitor 2020 53You can also read
