The Data Quality Tools Market in APAC (2019-2023): Leading Players are IBM, Informatica, Oracle, SAS Institute and Talend - ResearchAndMarkets.com
DUBLIN--(BUSINESS WIRE)--Jan 11, 2019--The “Data Quality Tools Market in APAC 2019-2023” report has been added to ResearchAndMarkets.com’s offering.
The data quality tools market in APAC will register a CAGR of close to 23% by 2023.
The use of analytics enhancing the efficiency of data quality tools is expected to drive growth in the market
The current generation of data quality tools are being deployed in conjunction with visualization tools by enterprises. This is helping business users in identifying and performing a root cause analysis of data quality issues with help of interactive graphics.
Need to improve customer engagement
Data quality strategies of organizations are focused on enhancing customer satisfaction and performing accurate customer profiling to capitalize on market opportunities.
Lack of awareness and data quality roles within organizations
Many organizations do not measure the financial losses that arise due to poor data quality. Lack of such assessments or the awareness of it hinders the adoption of data quality tools.
Key PlayersIBM Informatica Oracle SAS Institute Talend
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: MARKET LANDSCAPE
PART 04: MARKET SIZING
PART 05: FIVE FORCES ANALYSIS
PART 06: MARKET SEGMENTATION BY END-USERMarket segmentation by end-user Comparison by end-user BFSI - Market size and forecast 2018-2023 Telecommunication - Market size and forecast 2018-2023 Retail - Market size and forecast 2018-2023 Healthcare - Market size and forecast 2018-2023 Others - Market size and forecast 2018-2023 Market opportunity by end-user
PART 07: CUSTOMER LANDSCAPE
PART 08: GEOGRAPHIC LANDSCAPE
PART 09: MARKET SEGMENTATION BY DEPLOYMENT TYPEMarket segmentation by deployment type Comparison by deployment type On-premises - Market size and forecast 2018-2023 Cloud-based - Market size and forecast 2018-2023 Market opportunity by deployment type
PART 10: DRIVERS AND CHALLENGES
PART 11: MARKET TRENDSML algorithms augmenting data quality tool efficiency AI helps improve data quality Use of analytics enhancing the efficiency of data quality tools
PART 12: VENDOR LANDSCAPE
PART 13: VENDOR ANALYSISVendors covered Vendor classification Market positioning of vendors IBM Informatica Oracle SAS Institute Talend
For more information about this report visit https://www.researchandmarkets.com/research/qfs339/the_data_quality?w=4
View source version on businesswire.com:https://www.businesswire.com/news/home/20190111005133/en/
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INDUSTRY KEYWORD: TECHNOLOGY DATA MANAGEMENT SECURITY
SOURCE: Research and Markets
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PUB: 01/11/2019 06:14 AM/DISC: 01/11/2019 06:14 AM