STAYING AHEAD OF THE CURVE: LEVERAGING BIG DATA PLATFORMS AND DATA ANALYTICS TO ENSURE COMPLIANCE

May 17, 2018

KEY BIG DATA CONCEPTS. SPEED & SCALE. A big data strategy leverages three principles (the so-called “three V’s”): increasing volumes of data that can be incorporated into models, increasing variety of types and breadth of available data, and  increasing velocity at which data can be processed. DATAFICATION. In the past much data could not be digitized. No more. In 2000 only 25% of stored data was digitized; today it’s 98%. Migration from structured and “scrubbed” data sets to natural data sets.

Spotlight

Data Aurora

Data Aurora is a Data Science innovation services firm that uses data-driven sensemaking to design better human experiences from anthropological patterns. Based on our practice of sensemaking, we help customers through Dataphenomenology™. Humans decide how moments should be remembered and they want to navigate the world better without friction. Our role is to reduce complexity and design experience that they can feel, remember, and relate to. Dataphenomenology™ is meant by using data science to earn empathy that transforms pico-moments into better human experiences towards your products. Predictive Analytics can tell a Gelato shop, for example, how many Gelatos its customers will eat in a day; Data Aurora can reveal how those customers perceive the Gelato experience.

OTHER WHITEPAPERS
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Big Data Analytics and privacy & data protection

whitePaper | August 31, 2022

The rise of Big Data and Data Analytics provides great opportunities for organizations to realize new ways of doing business and will give a significant increase in added value. Organizations that do not ‘catch the Big Data Analytics train’ run the risk of falling behind. According to the European Commission1 the value of European citizens’ personal data has the potential to grow to nearly € 1 trillion a year by 2020.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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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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The Intersection of Big Data, Data Governance and MDM

whitePaper | June 29, 2022

For (oh so many) years, we’ve been hearing about the “promise” of big data. Much of the buzz focused on getting people prepared for the onslaught of bigger data sets – and what IT needed to do to help the business make sense of this information.

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GBM-Security

whitePaper | November 15, 2019

We are living in an era of digital disruption. Multiple industries are being disrupted, or fear being disrupted in the near future. Business models are evolving to cater to the dynamic markets and digital transformation that seems to be the answer to changing business models. Digital transformation is rapidly becoming a key priority in most industries, as organizations adapt to changing markets by leveraging technologies to build IT-centric business models. In general, organizations are using digital transformation to reach their goals of achieving greater agility, improving operational efficiency, improving customer experiences, and developing new revenue streams.

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Maximize the ROI of Your Databricks Lakehouse with Stardog: Asset

whitePaper | June 2, 2022

Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.

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Spotlight

Data Aurora

Data Aurora is a Data Science innovation services firm that uses data-driven sensemaking to design better human experiences from anthropological patterns. Based on our practice of sensemaking, we help customers through Dataphenomenology™. Humans decide how moments should be remembered and they want to navigate the world better without friction. Our role is to reduce complexity and design experience that they can feel, remember, and relate to. Dataphenomenology™ is meant by using data science to earn empathy that transforms pico-moments into better human experiences towards your products. Predictive Analytics can tell a Gelato shop, for example, how many Gelatos its customers will eat in a day; Data Aurora can reveal how those customers perceive the Gelato experience.

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