Datameer Blog

GDPR Is Almost Here. Are Your Analytic Processes Ready?

The May 25, 2018 deadline for the General Data Protection Regulation (GDPR) is almost upon us. And the question many in management are asking is: Are we ready? In most organizations, the risk and compliance teams…

blog-blue-retail

Having spent some time in the retail business, specifically apparel, and at a company that focused on helping e-retailers, I have an appreciation for the challenges these organizations face. With the entire retail world turned upside…

Four Ways to Overcome Data and Analytic Challenges in the Insurance Industry

The insurance industry, in particular the property and casualty, life and annuity, and re-insurance sectors, is fraught with very interesting data and analytics challenges. While there is vast potential for big data and advanced analytics such as Artificial Intelligence (AI) and Machine Learning (ML), data challenges often hold insurance carriers back from fully exploiting this potential.

Datameer and IBM Cloud Private for Data

Many CEOs see Artificial Intelligence (AI) and Machine Learning (ML) as a key component to gaining competitive advance in their respective marketplaces. A 2017 survey of Fortune 500 CEO’s found that 81% of the respondents listed AI/Machine Learning as a “critical area of investment”, ranking just behind Cloud and Mobile Computing (91% and 86% respectively).

Five Rules of Data Exploration

As always, one always learns something new at the Gartner Data and Analytics Summit (the 2018 North America version held last week in Grapevine, Texas). I attended a fascinating session with two of Gartner’s most knowledgeable analysts – Mark Beyer and Adam Ronthal – on modern data architectures. In this case, it was not so much learning something new, but rather being reminded of a concept I had used before.

Five New Big Data Use Cases for 2018 — Insurance Pricing, Risk and Underwriting

Digital transformation is disrupting the insurance industry with the digitization of underwriting at the heart of this change. Digitalization of underwriting can also enable a retail-style to reach new demographics that often prefer a more virtual experience.

Five New Big Data Use Cases for 2018 — Personalized Omni-Channel Experience in Retail

Over the past weeks, I’ve been covering some of the newest big data use cases we’re seeing emerge this year. If you haven’t already read parts 1-3 on blockchain, MiFID II and healthcare precision management, you may want to check them out or download all five use cases here. This blog will cover Personalized Omni-Channel Experience in Retail.

Seven Data and Analytics Trends for 2018

What’s going on in the data world right now, and how will it impact the market in 2018? There are the obvious, banner headlines, of course: AI is everywhere and will change everything; Enterprises continue to move their infrastructure – and data – to the cloud; GDPR will make data protection every company’s priority. But you knew all that. And maybe you were a bit skeptical of the grandiose claims anyway.

Five New Big Data Use Cases for 2018 — Healthcare Precision Medicine

Every year, industry pundits hypothesize on the many ways big data can improve healthcare delivery and the overall healthcare system. Yet, adoption of big data in healthcare fails to keep pace with other industries.

Five New Big Data Use Cases for 2018 — MiFID II

Back in 2004, Europe created a new set of rules for smoother stock trading called the Markets in Financial Instruments Directive, or MiFID. In 2007, new regulations called MiFID I went into effect designed to increase transparency and competition among the various European financial trading exchanges.

Five New Big Data Use Cases for 2018 — Blockchain

Every year, more organizations in various industries take steps to maximize and leverage big data to improve business processes and stay ahead of the competition. Furthermore, emerging technology trends continue to prompt new ways to derive insights from data.

Can You Trust Your Data In Alteryx?

Data security has never been as important as it is today. At Datameer, the security of your data is as important to us as it is to you. This is why companies working with very sensitive customer data – some of the world’s largest banks, healthcare insurers and telecommunications firms such as Citi, HSBC, Aetna, Anthem, Optum and Sprint/Pinsight Media – all trust Datameer for their data preparation and exploration needs.

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