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Data Exploration vs. Data Discovery

Much has been made of the term “data discovery.” It is used profusely in the BI market and describes a fundamental transition in BI tools as emphasis has shifted from reporting to looking for new trends. Companies such as Tableau and Qlik altered the BI landscape with their ability to help business analysts discover new trends hidden in data.

Data Pipeline Optimization : Why Self-Sufficiency Accelerates Insight

The modern data pipeline has become an invaluable asset for many companies, allowing them to make well-reasoned business decisions fueled by the most up-to-date data possible. However, in today’s competitive business environment, collecting and compiling data is simply not enough to remain relevant. Proactive companies now strive to be “data driven” across many functions of the organization, using vast quantities of data, gathered from a plethora of sources that help to better define their business goals and company operations.

Datameer Visual Explorer: This Changes Everything

Datameer has introduced its new Visual Explorer component, and in my opinion, big data analysis has undergone a sea change because of it. I know that sounds hyperbolic, especially since I am not a disinterested party – but I am in earnest. Visual Explorer is a combination of technological breakthrough and a unique user experience that changes the landscape for doing exploration work with raw data at high-volume. In this post, I’d like to expound on why it’s so fundamentally transformational.

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At the heart of digital transformation is the creation of new data assets that drive the processes that fuel digital business. Optimizing and operationalizing the data asset creation process is at the core of the next iteration of the data lake, in which the data lake becomes the production line for the digital business. Companies that succeed at optimizing these production lines will ultimately have a tremendous leg up over their competition in the digital economy.

The Role of Big Data in Preventing Healthcare Fraud, Waste and Abuse

Big data has massively transformed the healthcare industry in so many ways, contributing largely to today’s more efficient, value-based healthcare system.

Why It Pays to Bet Big on Big Data in Healthcare

The ability to analyze and understand large data sets has become a huge factor in how enterprises identify new opportunities and improve overall customer experience. But not only is big data changing the way businesses compete and operate, it’s also creating a significant impact in the healthcare industry.

Tableau and Hadoop Data Lakes: Three Ways to Get Data Where You Want

Tableau is one of the most popular (if not the most popular) desktop data visualization and discovery tools on the market. And Hadoop-based data lakes are growing dramatically to serve up the massive volumes of data that analysts need to answer pressing new business questions.

Four Ways Telefonica Uses Big Data to Put Customers First

Competing in any market today is incredibly difficult. But competing in the telecommunications market, where there is an incredible degree of industry disruption and digital transformation, can be more difficult than most.

5 Big Data Challenges (Plus Free Resources to Help)

While most big data teams have similar goals, they often stall in different areas. These areas can range from deciding exactly what to do with the data to deciding how to provide more people with more access to data. But we’re here to help. Today, we’re going through the top five challenges that big data teams face, and how you can address them.

5 Big Data Job Descriptions to Hire an All-Star Team

So you’ve made the business case for hiring a big data team to spearhead your company’s analytics initiatives – now what? Once you’ve identified the operational value proposition and business insights that big data offers you, then (and only then) is it time to add the talent that can deliver on those expectations.

Five Highly Effective Approaches to Governance

It also creates an environment that makes data available to the right people, encourages trust around data and makes it easily discoverable. Good governance is crucial to a data-driven culture, and understanding its potential can be the launchpad for data-driven success and business transformation. But how do you achieve that?

What’s Needed for Data Governance Today?

Hear from Andrew Brust, blogger at ZDNet and Datameer’s Senior Director of Market Strategy and Intelligence, or skim through the transcripts to learn about what’s needed for data governance in the modern world.