Data Visualization Translating data into actionable insights for retailers

June 28, 2016

Data visualization is the presentation of data in a visual format. It allows users to easily identify behavioral patterns, trends and correlations through illustrative techniques and software. The key is to keep it simple and let the pictures, charts and graphs tell the story. With the growth of big data and the desire to mine information from all customer interactions, data visualization can be a powerful tool to quickly observe trends and take action on the data observed. Data visualization makes it easier for executives and leaders across all disciplines to access key data and apply the insights to drive customer and business strategy. Examples of visual data include heat maps, infographics and a combination of pictures and graphs. Each of these formats should be designed to answer strategic questions about the business so users can find what they need without having to dig into the raw data.

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OTHER WHITEPAPERS
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SAP Datashpere

whitePaper | March 29, 2023

On the 8th of March 2023 SAP announced the evolution of SAP Data Warehouse Cloud (DWC) into SAP Datasphere during its ‘Data Unleashed’-digital event. Although this whitepaper has been updated to reflect all the changes and new developments, some of the images may still carry SAP Datasphere’s old name (Data Warehouse Cloud), in cases where no similar visualizations with the new namesake were available. If you have read this whitepaper before, you might just be interested in the topics that SAP highlighted in the days preceding and during the March event. In the section below you will find the most important takeaways in a nutshell, but we encourage you to read on if you want to know more!

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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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SaaS and The Evolution of Cloud-Based Data Management

whitePaper | December 21, 2022

The evolution of cloud-based technology is continuing to reshape the data management landscape. As data volumes increase, users in different industries are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.

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Data Beyond Borders 3.0

whitePaper | July 6, 2023

Cross border data flows came to prominence under Japan’s G20 Presidency in 2019, with the Data Free Flow with Trust (DFFT) framework. Since then, the G20 Presidencies have set DFFT as a major priority in the promotion of worldwide digitisation, building the pillars that led G7 leaders to endorse and commit to a roadmap for cooperation on DFFT. Cross-border e-commerce has had a 45-fold increase1 in a decade, reaching an estimated USD2.7 trillion by 2023.2 Nearly two-thirds of global commerce is related to digital technology, with companies and governments investing an estimated USD6.8 trillion in digital transformation initiatives between 2020 and 2023.3

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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A Modern Data Architecture

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.

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