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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

It also forces a lot less think than might be optimal. Delete anything that's redundant, and simply visualize what's left for sharper focus. Everything seems sub-optimal. Yes, text can be optimized. Let's look at this real data for a fictitious company… This is slide one… Ok. Interesting trend.

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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. The Underlying Concept.

Big Data 141
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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

By preventing customers to drive to the store location and buy or search for their needed items, the company can focus more on diminishing its environmental footprint by optimizing its shipment and packaging processes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu.

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Your Reference for Accelerating ERP Financial Processes

Jet Global

At the beginning of 2013, evaluations were based on 37 criteria, each considered to be a key indicator of organizational health. We have developed a suite of products that are tailored to integrate with different ERP ecosystems, and all of which offer optimized reporting capabilities.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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Delivering More Impactful Insights From Your Cloud Data

Sisense

Current, on-premises data platforms are not yielding optimal results for businesses. Data volumes have grown exponentially, not just in volume but in different systems, making it difficult to visualize whole data insights. Scalable cloud solutions: The future of data and analytics.

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7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. Calibrate data altitude optimally. #4. Ditch the text, visualize the story. Advanced, sophisticated visualizations are important. Then, go express your inner visualization beast. :).