Structured data can be processed, but unstructured data cannot. We cannot use various kinds of data unrestrictedly in the field of business
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1 Problems in the use of big Structured can be processed, but unstructured cannot There are many big solutions, but no solution can process big at the same level as humans can interpret them We cannot use various kinds of unrestrictedly in the field of business 2018 NTT DATA Corporation 1
2 Big around us Social media Information posted to social media by participants Customer Sales promotion such as DM, membership card, etc., managed in CRM systems Office Office documents and s created on office PCs Multimedia Audio and video provided on distribution sites, etc. on the Web Big Log Access logs, error logs, etc. automatically generated on WEB servers Website Purchase histories, blog entries, etc. accumulated on EC sites, blogs, etc. Sensor Travel records, temperature, acceleration, etc., which are detected by GPS, IC cards, RFID systems, etc. Operation POS, transaction, etc., generated on sales management operation systems Source: Created by NTT Data based on materials published by the Ministry of Internal Affairs and Communications 2018 NTT DATA Corporation 2
3 Variety Utilize diversity- Data Data Business side For most businesses, it could be more significant to collectively process various kinds of rather than just processing a large amount of. Data Technology side Difficult to realize due to high hurdles Big In handling various kinds of, there still are restrictions on bases and peripheral technologies processing such itself have not been well developed NTT DATA Corporation 3
4 Ideal situation Any As they are Can take in at any timing Use only you want to use right now In the structure you want Extract only necessary Transform to the format you want Big could also serve as a source to grasp changes in society and customers in the digital society NTT DATA Corporation 4
5 Use of MarkLogic Server as the infrastructure to realize services leveraging a wide variety of To build an unstructured utilization infrastructure, we use MarkLogic Server as the core element of the highly flexible and expandable management infrastructure which can manage structures not initially expected, changes in structures and unfixed-format such as text documents in real time, search based on the meaning of and complex relationships between, in addition to fixed-format managed by conventional RDB systems. Enriched engine Search/ analysis AP Natural language processing technology NoSQL DB supporting ACID and capable of large-scale distributed processing Data analysis (BI/BA) technology MarkLogic 2018 NTT DATA Corporation 5
6 Concrete example of utilizing MarkLogic Server -Solution for member store examination- This solution will increase the sophistication of the examination operation by customers, by conducting semantic interpretation and tagging for all information related to the examined store including information on EC sites and bulletin boards on the Internet. Then a variety of will be stored in MarkLogic Server in a usable form. Information on the Internet 加盟管理 Member store Improve work efficiency by automation of tasks to collect massive Member store website Member store website (Information offered by the member store) Presence of illegal goods Notification of the Act on Specified Commercial Transactions Broken URL links, etc. Collect information from the Internet (crawling) Social information, etc. Social information Twitter Unspecified individuals (Information that the member store cannot control) Word of mouth (Twitter/ bulletins) Map information (Google Map) Negative reviews, etc. Development management Search social information from unspecified individuals in addition to online information offered by the member store Reference to the member store information Reference to reputation Detect negative Reference to the reviews of member member store information stores Reference to reputation (Examination trigger) 2018 NTT DATA Corporation 6
7 Concrete example of utilizing MarkLogic Server -XBRL solution- XBRL, which is used for exchanging international accounting, is very complicated as it is. Also, XBRL files are hard to unrestrictedly process on RDBs as their formats are changed frequently. This solution enables users not only to process XBRL easily but also to collectively process a wide variety of other than XBRL. Maintenance is unnecessary. Store all taxonomies in XBRL Real-time visualization in the browser Simultaneous utilization with non-xbrl HyperCube Data linkage to existing systems 2018 NTT DATA Corporation 7
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