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How to be data-driven and act on your analytics vision

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How to be data-driven and act on your analytics vision


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Companies are looking to the future in hopes of becoming data-driven. But, this goal has been proven elusive for most, especially at an enterprise level. While most businesses want to rely on data for critical business decisions, most are not confident in their ability to act on their analytics strategy.  According to Forrester, 74% of companies aspire to be “data-driven,” and only 29% say they are good at connecting analytics to action. This discrepancy is a big problem for big data.

DataToInsightToAction

Closing the gap with data analytics and data science

In today’s age of global economic and political uncertainty, businesses need to be prepared. For that reason, 9 out of 10 CIOs are willing to invest on innovation. CIOs are looking to cognitive computing, data analytics, and data science to meet industry disruption head-on and gain advantage. Even so, companies face the same timeworn roadblocks. They need to know where the opportunities are. They need to better understand their business from a functional and operational standpoint, and be armed with a surefire way to glean insights from their data. Not only that, they need to bring that information back into the business and get to the action faster than their competitors. To close the gap, they need to know exactly how to act on the data they’ve gathered, while using the right data.

Making better, data-driven decisions

The potential of what businesses can achieve with analytics is tremendous, and it just keeps growing. Taking full advantage means incorporating analytics into your future and using it to make better, data-driven decisions. In this video, you’ll learn how you can catapult your organization forward. Put insights into the hands of decision makers with a combination of the major data analytics and data science disciplines; descriptive, diagnostic, predictive, prescriptive, enhanced with cognitive capabilities, machine learning, and natural language processing. You’ll see how you can act on your plan, while optimizing the decisions that are made to maximize finite resources and make the most impact. And, while you’re at it, boost revenue sky-high.

See our vision for bringing Business Analytics and Data Science together. See how to avoid the most common traps that keep companies from achieving their objectives in the demo below:

 

Want more?  See an abbreviated demonstration in this infographic, or learn more about IBM Business Analytics at https://www.ibm.com/analytics/business-analytics.

 

About the author: Paul Ambraz

Paul Ambraz is the Director of Marketing, Business Analytics, supporting the Business Analytics product portfolio. Paul first joined IBM in 1998 as a Marketing Specialist and has continued his career in roles both regionally and worldwide crossing numerous disciplines and brands. Prior to his current role Paul most recently held leadership positions in Corporate Headquarters in New York and was located in China as the Marketing Center of Excellence Leader supporting China, Japan and Korea.

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