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Eating the Elephant of Data Strategy

Paul Blogs on BI

With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. If they also decide to include converting to new BI tools and adding new generative AI tools, it becomes monster-size!

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

The interpretation of data helps researchers to categorize, manipulate, and summarize the information in order to answer critical questions. For a more in-depth review of scales of measurement, read our article on data analysis questions. Interviews: one of the best collection methods for narrative data.

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Boost Engagement, Drive Better Decisions with Custom Analytics

Sisense

Even if you have powerful, useful dashboards set up, the insights you’re capturing might not be making the leap to wherever the actions you need are taking place. Highly interactive data experiences seamlessly integrated into existing applications and workflows are the key to increasing BI adoption and empowering users.

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How To Build A Modern & Effective Video Marketing Strategy

datapine

Let’s discuss how to build a powerful and scalable video marketing strategy for your business to make it a great success in the industry. All these questions are very essential and you need to find a valid answer for each of them before beginning to create any video content. Determine Your Business Goal.

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Building Data Models to Empower Self-Service Users

Sisense

Data models are the engine that powers every aspect of your company’s data program: You perform advanced analytics on them, product teams power your app’s embedded analytics, and front-line users rely on them for self-service exploration. It may take more than one interview to collect all the information you need and record it.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

It’s “hard,” structured data that answers questions such as “how many?” The solution to this problem is to ensure that your BI and analytics platform can handle as many sources and forms of data as possible, both on-premises and on the cloud , so that you don’t neglect or miss any of it. This is quantitative data. or “how often?”

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Take Advantage Of The Top 16 Sales Graphs And Charts To Boost Your Business

datapine

The question and answer we included come from an actual interview that Fortune magazine did with billionaire Tilman Fertitta. These charts and graphs each illustrate crucial aspects of your sales BI department that you would be well served to know in-depth and keep track of. From Fiction To Reality. 1) Sales Performance.

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