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Modernize Your ETL Processes, Discover Better Insights

Sisense

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. 2) Lack of company-wide adoption.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. Or even better: “Which marketing campaign that I did this quarter got the best ROI, and how can I replicate its success?”.

IT 317
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PepsiCo transforms for the digital era

CIO Business Intelligence

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” But there is more room to go.

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Breaking down Business Intelligence

BizAcuity

All of which can be used to increase profitability, gain better ROIs, and be better adapted to changing economic landscape and consumer behavior. The more effectively a company uses data, the better it performs. Integrating data allows you to perform cross-database queries, which like portals provide you with endless possibilities.

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Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. As a result, organizations have spent untold money and time gathering and integrating data.

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Streamlining IT for agility

CIO Business Intelligence

Among the issues that led to an overfull pipeline included department heads pushing for pet projects that may not have strategic benefits for enterprise at large, the classification of too many big projects with iffy ROI as urgent, and what Das calls “big, shiny ideas,” like crypto projects that have not been properly vetted.

IT 134