Data scientists spend 80% of their time preparing and managing data

for analysis1

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Strategies for the Game

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80%

There is a shortage of

data analysts and scientists1.7 Million

DATA PREP

ITNo longer overwhelmed with data preparation. Focus on governance, permissions, and creating and supporting analytic sandboxes and data lakes

Business analystsNo more waiting for IT. Use drag and drop tools to access the data you need and prepare for analytics

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DATA QUALITY

ITEmpower analysts with solutions that clean, validate, and enrich data

Business analystsFollow customers accurately across all touchpoints

1 https://marksmith.ventanaresearch.com/2015/02/21/the-establishment-of-data-preparation/

2 http://www.mckinsey.com/business-functions/business-technology/our-insights/big-data-the-next-frontier-for-innovation

3 http://info.crowdflower.com/2015-data-scientist-report

4 http://www.healthdatamanagement.com/news/data-quality-issues-bog-down-use-of-analytics

5 https://dzone.com/articles/how-to-minimize-data-wrangling-and-maximize-data-i-1

6 451 Research State of Enterprise Data Quality: 2016 report

7 TDWI

8 http://lemonly.com/work/the-cost-of-bad-data/

9 http://info.crowdflower.com/2015-data-scientist-report/

10 https://www.scribd.com/doc/258147763/2015-Big-Data-and-Analytics-Infographic

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of respondents expect the

number of data sources and the volumes of data in their

organization to increase in the

coming year6

95%

DATA BLENDING

ITCombine data sources into a single data flow that can be used by multiple stakeholders

Business analystsGain 360-degree view of the customer for competitive advantage

92%of organizations have 16-20 data sources. Data is spread across multiple locations in different formats5

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Bad data or poor quality data costs organizations as much as

10-20% of their revenue8

20%

AUTOMATION

ITDrastically reduce data prep time with a scalable, automated data pipeline

Business analystsMore data really translates to more business value

52%

of data scientists report their biggest obstacle is poor quality data3

87%

of data management professionals surveyed report that they’ve added bad data into their data stores4

50%of businesses spend more time cleaning data than using it7

More than

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of enterprises surveyed say

integration into existing infrastructure is the top

priority during vendor

evaluation10

51%

INTEGRATION

ITPick modern technology to manage integrated processes at scale

Business analystsTake action and make decisions based on concrete data

54%of data scientists lack the tools required to do their job effectively9

An Integrated Data Management Solution

Offers an integrated solution that supports businesses with a complete toolset to manage big data at scale

CompletenessCombined data quality

and data integration capabilities

AgilitySolution adapts to new demands and new data

sources with ease

Big DataOne product, one

install, across hybrid databases and Hadoop

Speed to ValueUI and pre-built

functions help users get work done quick

PerformanceMassive, scalable

architecture

360

HOW BUSINESS ANALYSTS AND IT WIN AT BIG DATA ANALYTICS

Strategy 2Ensure high data quality

Strategy 3Gain insight by blendingmultiple data sources

Strategy 5Select technology that integrates with ease, and at scale

Strategy 1Provide analytic-ready data for analysts

Strategy 4Leverage automation to achieve and maintain data accuracy

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