data 2020: state of big data study - sap news...
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Data 2020:State of Big Data Study A global study of enterprise data challenges and solutions
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As data’s importance grows, so does its complexity. Enterprises are challenged to make informed business decisions
within a fragmented IT environment. SAP studied a wide variety of issues associated with enterprise data, illustrating
a data management landscape ripe with opportunity, yet challenging to manage across roles and departments.
Data Quality & HealthA modern data environment is siloed, complex and data quality is unclear.
However, enterprises are taking the necessary first steps to improve data discovery and governance.
Data Sources, Connectivity & IT FrameworksDue to rising data complexity, businesses are not as agile and data-driven as they need to be.They increasingly value the opportunity that analytics solutions provide to integrate silos and obtain valuable insights.
74%86%say there is much more they can do with their data,while 74% say their data landscape is so complexthat it limits agility
86%
Discovery
50%believe that data is inaccessible to a wide variety of business stakeholders, while 14% believe that data cannot be accessed at all
50%14%
Health
Most Important Technologies
would benefit from using a data integration solution
83%say their company’s data needs more than just a check up to make it healthy
79%
Location
of data is on premise, versus 26% in private or public clouds VS.37%
of companies incorporate data from applications outside the enterprise
68%
Enterprise Applications (ERP, CRM)
Email, Word Processing, Spreadsheets
DocumentManagement
Third-partyData Sources
Social Media Geospatial
72%
85%struggle with data from a variety of locations, and 72 percentsay that their data landscape is complex with the variety and number of data sources
85%72%
68% 59%
59%
54% 53% 32%
believe that their data is of very high quality
23%
37% 26%
Clean data daily Clean data a few times per week
Clean data a few times per month
Clean data once a month
Rarely clean data
25% 25% 24% 17% 7%
Operations Finance Sales and Marketing Human Resources Other Departments
85%
Internet of Things Machine Learning
81%
AI
81%
Analytics
96%
Most Important Data Sources
17%
Machine LearningInternet of Things
19%
AI
15%
Most Likely to Use Data Analytics Solutions
Key Data Stakeholders
Most Challenging Data Sources
Data LakesPublic/PrivateClouds
Enterprise Information Management Tools
Data VisualizationTools
Data MartsDataWarehouses
Hadoop
49% 44% 38%
38%
38% 31% 30% 26%
Skills, Capabilities & OwnershipThere is a need to address the high demand for jobs in data science
to prevent a potential job skills shortage.
Big Data has been coined the new gold, and companies believe that it’s time to make data scientists the new gold miners.
of companies currently have data scientists. 79 percent say that data scientists are important in making sure the company is successful, and 78 percent believe there will be a shortage of people with the right skills to successfully work with data
53%79% 78%
of companies say data scientists should focus on data inside the enterprise, versus 38 percent who say they should focuson data outside the enterprise
59%
24%
Sales and MarketingOperations Finance Human Resources
40% 21% 13%
13%61% 52% 49% 43%
75%believe that both IT and other departments should be the primary departments handling data analytics
When implementing data management systems, the most common recommendations are:
More oversight from IT
More technically qualified people
A more streamlined process for requesting and granting data permissions
Easier to use tools
Study conducted by Regina Corso Consulting, commissioned by SAP, August 2017. Respondents were enterprise IT decision-makers from the United States, Canada, Brazil, Germany, France, United Kingdom, Japan, China, Australia.
For more information on how SAP helps enterprises manage complex data,
visit www.sap.com/datahub
About the Study
VS.