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BIG DATA SNAPSHOT
Do you have a Big Data strategy?
Where are you in the Big Data roadmap?
What are the main use cases for Big Data you have identified:
JUNE 2018 | WHISHWORKS
What are the current skill gaps in your Big Data projects?
01
02
03
04
63% 37%
NoYes
What are the 3 biggest obstacles in implementing Big Data in your
organisation?
05
Profitability and compliance have been on top of the agenda of most B2C
businesses in the past 2 years. They are now turning to Big Data solutions to
gain the necessary visibility for strengthening both their business and
governance strategies.
Very often Big Data initiatives fail to prove their value due to lack of strategy
and/or poorly defined expected outcomes. We have also seen initiatives that
started with a strong IT strategy but failed along the way because there had
been no alignment with the overarching business strategy.
Regardless of why organisations decide to implement a Big Data solution,
unless they are able to extract, transform, combine and analyse their data at
scale, they will not be able to derive the desired outcomes. The Big Data
technology landscape requires a whole new skillset and most companies
struggle to bridge the gap.
Embarking on a Big Data journey means embarking on a transformational
journey and, unless top management sponsors it, there is going to be
resistance from across the organisation. Top management expects to see the
business value from any proposal, but often IT fails to translate technical
advantages into compelling business benefits that will in turn help release the
necessary investment.
We asked delegates at the recent Big Data Analytics and MapR
Convergence events in London, about their progress with
implementing Big Data in their organisations. Here is what they told us:
WHISHWORKS is a global IT services and consulting company, specialising in systems
integration and Big Data analytics since 2008. The company works with an ecosystem of
systems integration and Big Data partners, including MuleSoft, Hortonworks, MapR and
Cloudera, to develop leading solutions that enable digital transformation.
www.whishworks.com | marketing@whishworks.com | @WHISHWORKS
38%
18%
13%
12%
12%
6%
Developing
strategy
Identifying
business use
cases
Identifying
relevant
data sets
Proof of Value
Production
Improve &
Optimise
long time-to-insight
Traditional ETL approaches
cannot sufficiently support
Big Data solutions and
companies struggle to find
data engineers experienced
in the Big Data ecosystem.
ANALYTICS
INSIGHTS
Lack of
skills
24%
Budget
19%
Prove
business
value
14%
360º customer view Risk management
Data quality
& accessibility
19%
Company
Culture
24%

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Big Data Snapshot - June 2018

  • 1. BIG DATA SNAPSHOT Do you have a Big Data strategy? Where are you in the Big Data roadmap? What are the main use cases for Big Data you have identified: JUNE 2018 | WHISHWORKS What are the current skill gaps in your Big Data projects? 01 02 03 04 63% 37% NoYes What are the 3 biggest obstacles in implementing Big Data in your organisation? 05 Profitability and compliance have been on top of the agenda of most B2C businesses in the past 2 years. They are now turning to Big Data solutions to gain the necessary visibility for strengthening both their business and governance strategies. Very often Big Data initiatives fail to prove their value due to lack of strategy and/or poorly defined expected outcomes. We have also seen initiatives that started with a strong IT strategy but failed along the way because there had been no alignment with the overarching business strategy. Regardless of why organisations decide to implement a Big Data solution, unless they are able to extract, transform, combine and analyse their data at scale, they will not be able to derive the desired outcomes. The Big Data technology landscape requires a whole new skillset and most companies struggle to bridge the gap. Embarking on a Big Data journey means embarking on a transformational journey and, unless top management sponsors it, there is going to be resistance from across the organisation. Top management expects to see the business value from any proposal, but often IT fails to translate technical advantages into compelling business benefits that will in turn help release the necessary investment. We asked delegates at the recent Big Data Analytics and MapR Convergence events in London, about their progress with implementing Big Data in their organisations. Here is what they told us: WHISHWORKS is a global IT services and consulting company, specialising in systems integration and Big Data analytics since 2008. The company works with an ecosystem of systems integration and Big Data partners, including MuleSoft, Hortonworks, MapR and Cloudera, to develop leading solutions that enable digital transformation. www.whishworks.com | marketing@whishworks.com | @WHISHWORKS 38% 18% 13% 12% 12% 6% Developing strategy Identifying business use cases Identifying relevant data sets Proof of Value Production Improve & Optimise long time-to-insight Traditional ETL approaches cannot sufficiently support Big Data solutions and companies struggle to find data engineers experienced in the Big Data ecosystem. ANALYTICS INSIGHTS Lack of skills 24% Budget 19% Prove business value 14% 360º customer view Risk management Data quality & accessibility 19% Company Culture 24%