Datameer Blog Page 4

Vivint Smart Home’s Miki Seltzer, data scientist, and Raul Olvera, senior data engineer, visited theCUBE, SiliconANGLE’s mobile livestreaming studio, and spoke with host Jeff Frick (@JeffFrick) They discussed how the company handles the massive amount of homeowner data it collects, Datameer Inc.’s role in analytics, and the future use of personal information by customers. View the complete interview here.

3 Steps to Optimize your Data Lake

Data today is quickly growing in volume, variability and complexity. This has left organizations with the challenge of harnessing all this data – however broad in variety or large in volume – to derive more value and insights from it.

Six Key Characteristics of a “Cloud-native” Platform

With the Cloud platform software market expected to reach $90 billion by 2020, even the largest and most conservative organizations are moving some or all of their analytics to the Cloud. According to the Gartner 2017 Magic Quadrant Business Intelligence and Analytics Platforms report:

The cloud computing revolution has changed technology, and how businesses use it. It’s made for unprecedented levels of agility and flexibility in the use of, and budgeting for, technology. It’s lowered barriers to entry, it’s leveled the proverbial playing field and it’s also pressured organizations to accelerate their adoption of technology in order to stay competitive. But you knew all that.

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.

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.

Big Data and the Telecom Customer Service Experience

Like many industries, the telecom industry is facing challenges. With ubiquitous internet access to new services and extremely low switching costs, customers have more choices than ever. This may be great for customers—but it’s certainly not great for the communications industry, which has to handle rapid change and increasing competition.

Five Big Data Use Cases for Retail

The retail industry continues to accelerate rapidly, and with it, the need for businesses to find the best retail use cases for big data. Sales alone are expected to grow by 3.5 percent in 2017, and e-commerce continues to make massive gains with an expected growth of 15 percent this year (Kiplinger, 2017).