SAP Innovation Awards 2018 Entry Pitch Deck - Realizing an Enriched Era of 5G via 18TB SAP HANA Real-Time Data Management Platform NTT DOCOMO's ...
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SAP Innovation Awards 2018 Entry Pitch Deck Realizing an Enriched Era of 5G via 18TB SAP HANA Real-Time Data Management Platform (NTT DOCOMO’s “Declaration beyond” 2020 Initiatives) NTT DOCOMO, Inc.
Realizing an Enriched Era of 5G via 18TB SAP HANA Real-Time Data Management Platform
NTT DOCOMO, Inc.
Japan Telecommunications
NTT DOCOMO developed a Real-Time Data
Management Platform with SAP HANA, which We partitioned huge amount of data into small pieces to allocate equally
incorporates 18TB of memory, the world’s largest class, among nodes and enabled multiple-reads in each node. In addition, we
and a scale-out model of 10 servers. It realizes the designed tables and SQL in consideration of partition keys which
search results within 2 seconds from 63TB of SAP HANA- minimize “inter-node data transfer”. For rapid visualization, we designed
optimized data source and the real-time visualization of SQL to reduce result size as much as possible. As a result of these
the huge amount of customer data, contract data, and innovations, we realized the search results within 2 seconds from 63TB
billing data. It helps about 2,400 docomo Shops (sales of data source.
and support shop) nation-wide to utilize such big data for
improving customers’ experience and business analysis.
Search results
“It took at least a week or two for the back-end office to within 2 seconds Self-business
generate and deliver non-regular information to front-office 18TB of SAP from 63TB of SAP analysis and rapid
sales. Now with SAP HANA, users can pull out the latest data HANA’s memory HANA-optimized
PDCA (Plan, Do,
whenever they need to and grasp the situation from various size and a scale data source,
whereas it took 1-2 Check, Analysis)
viewpoints. A significant increase in performance has also out model of 10
helped the nation-wide storefronts to monitor the status of weeks before. cycle. Resulted in
servers
sales promotions promptly and easily. Moving forward, we Gained operational revenue increase.
expect to see an improvement in service at docomo Shops.” cost reductions.
- Taku Hasegawa, General Manager of Information Systems
Department, NTT DOCOMO 2Participant Information
Realizing an Enriched Era of 5G via 18TB SAP HANA Real-Time
Data Management Platform
NTT DOCOMO, Inc.
Telecommunications
https://www.nttdocomo.co.jp/english/
NTT DATA Corporation and NTT DATA Global Solutions Corporation
(Participant) NTT DOCOMO, Japan's largest telecommunications company, provides
innovative, convenient and secure mobile services that enable customers to realize
smarter lives. The company serves over 73 million customers in Japan via advanced
wireless networks, including a nation-wide LTE network and one of the world's most
progressive LTE-Advanced networks.
(Submitter) NTT DATA is your Innovation Partner anywhere around the world.
Headquartered in Tokyo, with business operations in 53 countries, we put emphasis on
long-term commitment and combine global reach and local intimacy to provide premier
professional services from consulting, system development to business IT outsourcing.
3Solution Overview
NTT DOCOMO aims for true data-driven management to achieve “Declaration beyond”
as its Medium-Term Strategy 2020. NTT DATA and NTT DATA Global Solutions
developed a Real-time Data Management Platform with SAP HANA for NTT DOCOMO.
The system realized the real-time visualization of the huge amount of customer data,
contract data, and billing data and helped about 2,400 docomo Shops (sales and
support shop) nation-wide to utilize such big data for improving customers’ experience
and business analysis.
The Platform incorporates 18TB of memory, the world’s largest class in SAP HANA, and
a scale-out model of 10 servers. It realizes search results within 2 seconds from 63TB of
data source, and a data upload of 1.5TB within 2 hours which is generated per day at
peak period. Previously it took 1-2 weeks to obtain analysis reports from the technical
department and 2-3 months to create a data-mart with the former system.
There are two purposes for the true data-driven management. One is to improve the
business processes and the other is to create and evolve services by deeply
understanding customers. Both are being met with the Platform. The adoption of AI and
Machine Learning will become the next stage as part of Declaration beyond initiatives.
4Solution Details
The performance requirements were extraordinary high, as “the search results
within 2 seconds from 63TB of data source” and “the data upload of 1.5TB within 2
hours which is generated per day at peak period”. A scale-out model was adopted in
consideration of extensibility.
There are 3 key points that affect SAP HANA’s performance. 1) “data read” by
memory scanning. 2) “inter-node data transfer” to consolidate intermediate results
from all nodes. 3) “result generation” to users. It was required to finish all these
steps within 2 seconds. Firstly, we partitioned huge data into small pieces to
allocate equally among nodes and enable multiple-reads in each node. In addition,
we designed tables and SQL in consideration of partition keys which minimize
“inter-node data transfer”. For rapid visualization, we designed SQL to reduce result
size as much as possible. As a result of these innovations, we realized the former
performance requirement.
The latter performance requirement was not so difficult as the former, but we
needed to convert ROW-type data to COLUMN-type one. After investigating a
number of methods in respect of the ease of development and operation, we chose
to partition CSV file by size and load data multiply to SAP HANA without specifying
node. We realized 300MB of data load per second.
5Benefits
Business value:
Increase revenue by self-business analysis and rapid PDCA (plan, do, check, analysis) cycle. Improve store
operations, uncover best practices and apply insights and lessons from other stores. Analyze the result of marketing
campaign efficiently and visualize various leading indicators.
Reduce operational cost by dramatic improvement in report generation speed. Maximize the existing asset of data
analysis (systems, know-how, people, partners) and enhance analytical business processes in general.
Contribute to the true data-driven management objective.
Social value:
Achieve faster and more hospitable customer support than ever before. By linking every customer touchpoint, including
docomo Shops, smartphones, self-service terminals and call centers, and understanding each customer better, NTT
DOCOMO can reduce customer wait times and always provide the optimal solution anytime, anywhere.
Resolve regional disparities in respect of accessing NTT DOCOMO’s big data asset. Regional vitalization is an issue of
Japan. Some rural areas have problems like an aging society with fewer children. NTT DOCOMO is obliged to provide
universal ICT (Information and Communication Technologies) services all over Japan and about 2,400 docomo Shops
are spread nation-wide.
Human empowerment:
Collect the data from people and share it among them. As much as 18TB of data from various customer touchpoints,
including some 2,400 docomo shops run by almost 37,000 employees, as well as call centers with more than 10,000
operators, will be collected, analyzed and processed.
Enable users to pull out the latest data whenever they need to and grasp the situation from various viewpoints. Before
SAP HANA adoption, it took at least a week or two for the back-end office to generate and deliver non-regular
information to front-office sales.
6Architecture Scale Out SAP HANA
Multiplexing among/within node Node 1 Node 2 Node 9 Node 10
and speeding up read
General-purpose Table
“Data Partitioning” Partition Partition Partition
Minimizing “inter-node transfer”
Intermediate Intermediate Intermediate
“Distributed allocation Result Result Result
among nodes” Set Set Set
Final
Reducing final result size Result
Set
“SQL design policy” Result within 2 seconds from 63TB data
Fig. 1 Optimized data allocation and SQL design policy
Requirement Data Load of 1.5TB within 2 hours
CSV SAP HANA
CSV partitioning
ROW-type
SAP HANA auto load 300MB/Sec COLUMN-type
Fig. 2 Devices for data load requirement 7Users can confirm various indicators such
Illustration as number of contracts and sales
achievement of each docomo Shop.
drill down to each staff
Fig. 3 NTT DOCOMO’s “Declaration beyond”
Fig. 4 docomo Shop Fig. 5 Screen Shots
8Quote
“It took at least a week or two for the back-end office to generate and deliver non-regular
information to front-office sales. Now with SAP HANA, users can pull out the latest data
whenever they need to and grasp the situation from various viewpoints. A significant
increase in performance has also helped the nation-wide storefronts to monitor the status
of sales promotions promptly and easily. Moving forward, we expect to see an
improvement in service at docomo Shops.” [4]
- Taku Hasegawa, General Manager of Information Systems Department, NTT DOCOMO
“SAP transformed itself from an ERP to a Technology, and further to a Platform company.
SAP HANA is adopted by more than 10,000 companies worldwide. NTT DOCOMO has
developed the world's largest class system with 18TB SAP HANA. SAP Japan will
continue to provide beneficial services to our customers and partners.” [5]
- Masatoshi Suzuki, Vice President, Head of Platform Solution Group, SAP Japan
“SAP HANA possesses overwhelming performance and meets Japan quality. It was a best
choice for NTT DOCOMO. However, it was needed to understand an architecture of SAP
HANA and customer's requirements to maximize the effectiveness. We, NTT DATA, will
contribute to realization of customers' competitiveness and work transformation by utilizing
this experience and know-how.” [5]
- Masafumi Noda, Sr. Database Specialist, NTT DATA
9Deployment details
Big Data
It consists of the “operation data” that is stored by about 2,400 docomo Shops nation-wide and call centers with over
10,000 operators: The number of new contracts, model changes, cancellations, transfers from competitors,
subscribers of peripheral services (such as video and music), etc. Word-of-mouth data of SNS will become the next
target. Data size is 63TB: maximum 19 billion tables, over 1,000 columns in each table.
Various Users
Main users are about 1,000 employees of Agency Sales Department who grasp operating results, identify issues, and
find best practices in terms of when, which staff sold what to which customer at domomo Shops (agencies), as NTT
DOCOMO’s customer touch-points. Enterprise Sales, Marketing, Service, Executives are also using the Platform. It
counts about 70,000 registered users, 3,000 active users, and maximum 200 concurrent users at present.
2016 2017
Aug.-Sep. Oct. Nov. Dec. Jan. Feb. Mar.
Requirement Basic Detailed Development Integration System
Go-Live
Definition Design Design & Unit Test Test Test
Difficult and important phase. It was needed to respond to contradictory data analysis
requirements from various departments.
Fig. 6 Project Schedule 10Additional information
[1] Message from the CEO of NTT DOCOMO
https://www.nttdocomo.co.jp/english/corporate/ir/management/message/
[2] Video Message from CEO: Medium-Term Strategy 2020 "Declaration beyond“, YouTube, Jul. 4, 2017
https://www.youtube.com/watch?v=qb5pXjVS9Vk
[3] NTT DOCOMO speaks why SAP HANA, YouTube, Sep. 26, 2017 (It is preliminary because it’s under review.)
https://www.youtube.com/watch?v=eRRGQngBr3w
[4] NTT DOCOMO built an operational data visualization platform for nation-wide store-front service by utilizing SAP
HANA, SAP News, May 31, 2017 (in Japanese)
https://news.sap.com/japan/2017/05/31/
[5] SAP TechDays Tokyo 2017: NTT DOCOMO realized a Real-time Data Management Platform by the world’s largest
class SAP HANA, ITmedia Executive, Jun. 26, 2017 (in Japanese)
http://mag.executive.itmedia.co.jp/executive/articles/1706/26/news021.html
[6] NTT DOCOMO turns to SAP Hana to boost customer experience, ComputerWeekly.com, Jun. 20, 2017.
http://www.computerweekly.com/news/450421050/NTT-Docomo-turns-to-SAP-Hana-to-boost-customer-experience
[7] Case study of NTT DOCOMO: The world’s largest class “SAP HANA” went live, Instant analysis of 18TB data, 8
months of project period, pp.54-57, NIKKEI COMPUTER, Aug. 3, 2017, No. 944 (in Japanese)
[8] Realization of NTT DOCOMO’s Real-time Data Management Platform by the world’s largest class “SAP HANA”,
pp.34-35, Business Communications, Dec. 2017 Volume 54 (in Japanese)
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