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Four critical concepts to planning the Logical Data Warehouse

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1 Four critical concepts for planning the logical data warehouse Is your data warehouse robust enough to meet your needs? If it’s... • Too complex • Not efficient • Not fast enough It’s time for a modern approach. 4 Embrace analytics Capitalize on the value of data in all its forms • Move analytics to the center of your business • Proactively plan and engage rather than react • Uncover threats and opportunities from massive data volumes • Modern analytical tools maximize the impact of data warehouse solutions • ROI is approximately $13.01 for every dollar spent on analytics 3 • Use customer data for sentiment analysis, marketing efficiency, sales and customer service • Simplified infrastructure = more time to innovate • Simplified solutions = more efficient training and onboarding • Less complexity = better service and easier solution proliferation organization-wide Remove complexities • Make simplicity and performance the primary goals • Consolidate all activity to where the data resides • Streamline the user experience to keep users engaged Spend less time managing and more time innovating 3 • An impactful, modern data warehouse saves time, energy and resources • Ten times the data shouldn’t equal ten times the cost • Physical and logical consolidation helps reduce expenses Meet performance requirements and control costs even as data volumes grow • Migrate to a new data warehouse quickly and cost-effectively • Eliminate complicated data management and costly maintenance • Use cost savings to invest in value-creating analytics Reduce costs 2 Accelerate time to value and capitalize on new profit opportunities Increase speed • Analyze data in near- real time • Accelerate queries using integrated functionality • Make faster, more accurate decisions • 66% of organizations have a shortened “decision- making window” 1 • 70% of IBM study participants anticipate shorter deadlines to deliver new insights 2 • Successful data warehouses respond quickly to executive requests for insights Learn more: “Four critical concepts for planning the logical data warehouse”: https://ibm.biz/justthefacts 1 “The Best-in-Class Data Warehouse: Fast, Simple, Impactful.” Peter Krensky. Aberdeen Group. June 2014. 2 IBM Institute for Business Value, Analytics: The speed advantage, Why data-driven organizations are winning the race in today’s marketplace, October 17, 2014 - bit.ly/IBV_2015 3 “Analytics Pays Back $13.01 for Every Dollar Spent,” research note, Nucleus Research, September 2014. © Copyright IBM Corporation 2015. IBM, the IBM logo, and ibm.com are trademarks of IBM Corp. registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml IMU14203-USEN-00
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Page 1: Four critical concepts to planning the Logical Data Warehouse

1

Four critical concepts for planning the logical data warehouse Is your data warehouse robust enough to meet your needs?

If it’s...• Too complex• Not efficient• Not fast enough

It’s time for a modern approach.

4Embrace analyticsCapitalize on the value of data in all its forms • Move analytics to the

center of your business• Proactively plan and

engage rather than react• Uncover threats and

opportunities from massive data volumes

• Modern analytical tools maximize the impact of data warehouse solutions

• ROI is approximately $13.01 for every dollar spent on analytics3

• Use customer data for sentiment analysis, marketing efficiency, sales and customer service

• Simplified infrastructure = more time to innovate

• Simplified solutions = more efficient training and onboarding

• Less complexity = better service and easier solution proliferation organization-wide

Remove complexities

• Make simplicity and performance the primary goals

• Consolidate all activity to where the data resides

• Streamline the user experience to keep users engaged

Spend less time managing and more time innovating

3 • An impactful, modern data warehouse saves time, energy and resources

• Ten times the data shouldn’t equal ten times the cost

• Physical and logical consolidation helps reduce expenses

Meet performance requirements and control costs even as data volumes grow

• Migrate to a new data warehouse quickly and cost-effectively

• Eliminate complicated data management and costly maintenance

• Use cost savings to invest in value-creating analytics

Reduce costs

2 Accelerate time to value and capitalize on new profit opportunities

Increase speed

• Analyze data in near- real time

• Accelerate queries using integrated functionality

• Make faster, more accurate decisions

• 66% of organizations have a shortened “decision-making window”1

• 70% of IBM study participants anticipate shorter deadlines to deliver new insights2

• Successful data warehouses respond quickly to executive requests for insights

Learn more: “Four critical concepts for planning the logical data warehouse”: https://ibm.biz/justthefacts

1 “The Best-in-Class Data Warehouse: Fast, Simple, Impactful.” Peter Krensky. Aberdeen Group. June 2014.2 IBM Institute for Business Value, Analytics: The speed advantage, Why data-driven organizations are winning the race in today’s marketplace, October 17, 2014 - bit.ly/IBV_20153 “Analytics Pays Back $13.01 for Every Dollar Spent,” research note, Nucleus Research, September 2014.

© Copyright IBM Corporation 2015. IBM, the IBM logo, and ibm.com are trademarks of IBM Corp. registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml

IMU14203-USEN-00

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