{"id":62735,"date":"2023-02-22T06:00:00","date_gmt":"2023-02-22T14:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=62735"},"modified":"2023-08-31T13:31:59","modified_gmt":"2023-08-31T20:31:59","slug":"what-is-decision-intelligence","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/what-is-decision-intelligence\/","title":{"rendered":"Decision Intelligence: How Untapped Data Unlocks Smarter Analytics"},"content":{"rendered":"\n

Editor\u2019s Note: AI Cloud, Einstein GPT, and other cloud GPT products are now Einstein. For the latest on Salesforce Einstein, go <\/em>here<\/em><\/a>.<\/em><\/p>\n\n\n\n

Where there\u2019s data, there are decisions\u2026right?<\/p>\n\n\n\n

Not always. <\/p>\n\n\n\n

For the last two decades, companies have been told they can make better decisions if they simply invest in data and analytics. Yet recent research published by Salesforce<\/a> shows that the promise of these claims simply isn\u2019t true. While 80% of business leaders say data is critical in decision-making, 41% cite a lack of understanding of data because it is too complex or not accessible enough. What\u2019s more, one-third of leaders said they lack the ability to generate insights from data.<\/p>\n\n\n\n

This incredible amount of untapped data amplifies what the analytics industry has long known: having data doesn\u2019t automatically translate into driving decisions, nor does it mean businesses are making the right<\/em> decisions. To do that, they need decision intelligence.  <\/p>\n\n\n\n

What is decision intelligence?<\/h2>\n\n\n\n

Gartner<\/a> defines decision intelligence as bringing together multiple disciplines to design, model, align, execute, monitor, and tune decision models and processes. Fundamentally, it\u2019s much simpler than that.<\/p>\n\n\n\n

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Decision intelligence is about helping people make better decisions that lead to better outcomes. <\/p>\n<\/blockquote>\n\n\n\n

Why is decision intelligence important?<\/h2>\n\n\n\n

For companies to be successful in the future, they need to be able to turn their insights into action. That\u2019s an intimidating step because they are currently drowning in data but lacking in insight. How did they get there?<\/p>\n\n\n\n

What has historically mattered to companies was simply reporting <\/em>on the data they had. If someone in the organization could access data, put it into a report, and share it with others, that was considered a success.<\/p>\n\n\n\n

Then came the era of self-service analytics. Data was no longer static or just for IT; it became interactive, dynamic, and empowering. People could explore data, ask questions of it, and understand it, but it still wasn\u2019t available to everyone. <\/p>\n\n\n\n

Now, the industry is on the cusp of the decision era. In this era, organizations know how to turn their data into insights, and their insights into actions. People won\u2019t need data in their title to be a data person, and data will be infused into the tools employees use every day. No more jumping applications, moving tabs, or switching programs. Success in this era will require decision intelligence.<\/p>\n\n\n\n

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The businesses that thrive in the next five to 10 years are the ones that focus on improving the decisions they\u2019re making and driving better outcomes, not just better data.<\/p>\n<\/blockquote>\n\n\n\n

How do businesses get and use decision intelligence?<\/h2>\n\n\n\n

Decision intelligence starts by having a data culture, meaning data has been woven into the operations, mindset, and identity of the organization. <\/p>\n\n\n\n

That may sound daunting, but it doesn\u2019t need to be. Children\u2019s apparel giant Carter\u2019s Inc. migrated to Tableau and Salesforce<\/a> and quickly found ways to democratize access to their data, empowering all of their employees with the right skills and tools to be successful. As a result, Carter\u2019s was able to cut down the number of hours spent preparing reports and transform into a dynamic, data-oriented company.<\/p>\n\n\n\n

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