Pythian Webinar ft Forrester - From Data to Insight: Trends in Data Management

From Data to Insight: Trends in Data ManagementGene LeganzaVP and Principal Analyst

© 2013 Forrester Research, Inc. Reproduction Prohibited 2

Agenda

› Improving data capabilities a key priority for 2014

›Organizations ramp up data services spend

›Best practices for engaging service providers

›Recommendations

© 2013 Forrester Research, Inc. Reproduction Prohibited

None of the above; the amount of data we store is not increasing

Other

We have embraced new 'Big Data' techniques that create and use more data

We have increased website data collection and analytics

We have increased PC backups

The retention period for key business data or backups has lengthened

We just don't want to throw anything away

We haven't defined a data retention strategy, so we just save everything

We have increased use of audio and video data

We are generating more data warehousing, reports, and analytics on existing business data

We have increased our replication and disaster recovery capabilities

Regulatory compliance and auditing requirements require us to keep more data than before

We are capturing more data per business activity than before

Business is growing, so there's more data generated by existing systems

1%

2%

7%

8%

12%

16%

21%

21%

22%

26%

28%

29%

32%

46%

Base: 1281 IT Decision-makersSource: “Forrsights Hardware Survey, Q3 2012 (9-5-2012)”

Why is the amount of data stored by your firm increasing? Please select the top three reasons.

We are digitizing everything


Data sources continue to multiply

But information architecture is a comparatively immature EA domain!

Business architecture

Information architecture

Integration architecture

Application portfolio management

Application architecture

Security architecture

Infrastructure architecture

24%

33%

39%

37%

42%

37%

34%

8%

11%

14%

17%

23%

23%

38%

1%

1%

4%

2%

4%

6%

5%

We have implemented a moderate amount com-pared to what we really need

We have implemented a very large percentage of what we really need

We have implemented nearly all of what we will need

What is the current state of the following parts of the EA program?

Base: 166 IT professionalsQ3 2013 Global State Of Enterprise Architecture Online Survey


Base: 113 IT professionalsQ2 2013 Global Information Strategy And Architecture Online Survey

And data management tasks are distributed across the organization


Base: 113 IT professionalsQ2 2013 Global Information Strategy And Architecture Online Survey

Data management tasks are distributed across the organization, continued


Organizations ramp up data services spend


Companies face data challenges

› New technologies challenge existing resources

› Highly skilled and experienced resources are expensive and tough to find

› New sources of data mean existing infrastructures are inadequate

› Companies lack maturity in managing and analyzing data


Data services encompass the whole lifecycle

Present data in the form of reports, portals, dashboards, and visualization tools

Explore, model, and analyze data

Find, collect, migrate, and integrate data as well as develop infrastructure to support data management operations

Encapsulates the above three elements

Source: October 30, 2013, “Market Overview: Data Services” Forrester report


Effective data governance encapsulates everything

Source: October 30, 2013, “Market Overview: Data Services” Forrester report


Organizations ramp up data management services spend in 2014


Lowering costs is not the key reason organizations look to third parties


Organizations use third parties for variety of services

15© 2013 Forrester Research, Inc. Reproduction Prohibited

Thinking of your third party system integrator/consultant resources, which of the following best describes your sourcing strategy?

Base: 132 Data management professionals

Few organizations use solely offshore resources, regardless of the service

Planning for data management solutions(N=89)

Designing data management solutions(N=101)

Building of data management solutions(N=112)

Running of data management solutions and associated infrastructure(N=99)

44%

50%

38%

39%

16%

15%

24%

13%

36%

32%

34%

43%

4%

4%

4%

4%

All third party resources are on-shore

All third party resources are off-shore

Third party resources are both on and off shore

Don't know


Best practices when working with service providers


Most organizations use a combination of in-house and third-party resources


Importance of industry expertise varies


Companies look to multiple providers


Use of multiple providers is often the result of specific policies in place

Don't know

Yes

No

4%

39%

57%

Does your firm have a policy that prohibits your awarding implementation contracts to the same firm that provided your strategy, planning, or design services?

Base: 135 Data management professionals


Interviewees were split – and passionate – about their approach to the single versus multiple provider issue

Practice Key quotes

Best practice to source each aspect of DM to best provider available for each types of service

• “Ensures that we are focused on having the most highly skilled resources on the job. It may require more planning and coordination, but it ensures that nothing is missed and lowers implementation risk”

• “We do not want to have all data handled by one provider due to risk of security”

Best to source some combinations to the same provider

• “Reduced cost”• “Better communication”• “It helps us develop synergies with fewer companies”• “You can’t have one party integrate data and another analyze it

– that makes no sense.”

Best to source all the services to a single provider

• “Less hassle to chase provider down if something goes wrong”• “Standardizing procedures”• “Keeps all systems together”

Which of the following do you feel is a best practice regarding sourcing third party system integrators/consultants for data management services?


Recommendations

› Develop a vision to guide preparations for the long haul

• Look to service providers with experience in data services and big data engagements

› Start small, experiment, and further develop your relationships with key vendors

• “Think big, act small — take it one step at a time. Brainstorm, but take things in small steps. If you take on 25 projects at once you're wasting your time." (North American financial services company)

› Be open to working with providers for strategic capabilities

• But make sure you have effective knowledge management processes in place


Selected Forrester research

› February 6, 2014, “Data Management Services: Spending Trends For 2014”

› February 6, 2014, “Best Practices For Engaging Data Service Providers”

› December 9, 2013, “Upgrade Your Data Capabilities Rapidly With Data Services Providers”

› October 30, 2013, “Market Overview: Data Services”

Thank youGene Leganza

[email protected]

Pythian – Love Your Data

DATA MANAGEMENT CHALLENGES

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Data Management

Increase

PerformanceOptimize

Infrastructure

Improve

Service Quality

Drive Innovation

Reduce and Contain

Costs

Find Expertise

Manage New + Complex

Technologies

Support Data Analytics

Accommodate New Data Sources

Expectations

Challenges


DELIVERING ON EXPECTATIONS

Optimize Infrastructure

Improve Performance

Deliver BI

Innovate

Customer-centric Enterprise

IT downtime costs $26.5 billion in lost

revenue

Amazon.com increased its revenue by 1% for

every 100 milliseconds of load time improvement

Guide business decisions

Big data to drive insight and innovation


TURNING CHALLENGES INTO OPPORTUNITITES

Reduce Costs

New technologies + Expert talent=

Less downtimeFaster time to market

Complex Technologies

New technology drives advantage

Out data your competition

New Data Sources

Build flexible environment Get insight

Drive innovationImprove customer experience

Finding Talent FTE vs OutsourceAverage vs. Exceptional


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