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Data Management


How Big Data is Aiding in Disaster Relief

October 19, 2016 by Ryan Ayers

When it comes to disaster preparedness, predicting disasters is one of the biggest problems governments have. That is where big data technology and predictive analytics step in and provide the solution. Over recent years, big data has been able to help scientists and disaster aid agencies narrow down to the hardest hit areas.[read more]


The Benefits of Semantic-Based Data Modeling in the Smart Data Lake Era

October 18, 2016 by Sean Martin

The driving force behind enterprise data analytics today is obtaining valuable insights more quickly from large, diverse data sets. A key issue blocking easier access for data scientists, business analysts and IT has been finding an alternative to the current data modeling process.[read more]


Debunking the Top Ten Myths of Cloud Based Disaster Recovery

October 14, 2016 by Gunjan Tripathi

Introduction:Few IT or business professionals would argue over the value of a well-constructed disaster recovery plan, with so many businesses and organizations depend on data systems for their most basic business functions. Savvy business owners know that it is no longer only a matter of protecting your data, but also of saving your...[read more]

Data Preparation: Is the Dream of Reversing the 80/20 Rule Dead?

October 14, 2016 by Bill Franks

I recently had someone ask me, “For years we’ve talked about changing analytics from 80% data prep and 20% analytics to 20% data prep and 80% analytics, yet we still seem stuck with 80% data prep. Why is that?” It is a very good question about a very real issue that causes many people frustration.I believe that there is actually a good...[read more]

AT&T to use AWS network to deliver IoT, analytics

October 11, 2016 by CIO Dive

AT&T announced it will partner with Amazon Web Services (AWS) to let joint customers use AWS cloud services with the AT&T network.[read more]


Managing Data Tasks with Robotic Process Automation

October 10, 2016 by Rehan Sheikh

Analysts predict that by 2020, Robotic Process Automation solutions will see a compounded annual growth rate of 60.5 percent. Employers are increasingly looking to robotic software to automate many of the data tasks currently completed by humans, for clear reasons, but the process isn’t as cut-and-dry as it first appears.To understand...[read more]

What’s the Difference Between Business Intelligence (BI) and EPM?

September 30, 2016 by John O'Rourke

One of my colleagues recently asked if I could write a blog post describing the difference between business intelligence (BI) and enterprise performance management (EPM) solutions. I haven’t been asked this question in a while, so maybe this is a good time to revisit these terms and technologies, what makes them different, and how...[read more]

Geospatial Data On-Demand

September 22, 2016 by Ron Bisio

Spatial data and building information modeling (BIM) bring new tools for data visualuzation and analysis to building construction and operations. Information is now able to be shared across design teams, contractors and facility managers in real-time.[read more]


How Risk Management Ecosystem Is Evolving with Data Analytics

September 22, 2016 by Mohammad Farooq

According to IBM “Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.” Innovative industries and organizations have already begun to capitalize on this wealth of data. From supply chain to insurance analytics and other big data...[read more]

What’s New in Finance Transformation? EPM, Cloud, Big Data and More

September 17, 2016 by John O'Rourke

The worlds of Finance and EPM are rapidly changing.  Finance teams are shifting their focus from counting and scorekeeping to adding strategic value to the business,  They are freeing up time to help managers consider the possibilities and make better decisions that can impact future results. To gain a better sense of the...[read more]

5 Advantages of Using Encryption Technology for Data Protection

September 12, 2016 by Ryan Ayers

Data breach and mega attacks are on the rise and at an all time high. With recent advancements developing in encryption technology, hackers are having are harder time breaking into sensitive data. This article overlooks five advantages of encryption technology and how it can protect confidential information.[read more]

4 Business Risks That Might Prevent Big Data ROI

September 9, 2016 by Paul Barsch

Evaluating risk vs. return of a big data initiative can be tricky, especially because the open source market is so active and fluid. Financial risk aside, business risk actually plays the bigger spoiler in properly estimating future cash flows and profitability of a big data project.[read more]


Cloud Managed Services Provider (MSP) Is it really about services or winning customer trust?

August 24, 2016 by Alakh Verma

            We have entered the era of outcome economy, or it would be appropriate to say that we are slowly entering the era of consumer trust economy. We can conclude that customers across the industry are shying away from paying for products or services. Consumers are willing to sign on the outcome,...[read more]

The Worst Case Scenario: Manufacturing Company Data Loss

August 23, 2016 by Kyle Cebull

We don’t often like to think about the worst case scenario when it comes to our businesses, but the fact of the matter is that at any moment something terrible could happen with your business technology, resulting in data loss. You have to be prepared for every scenario and have a comprehensive disaster recovery plan in place. But what...[read more]

Four Really Real Meanings of Real-Time

August 22, 2016 by Paige Roberts

Our director of engineering told me that she had a customer ask if we could do real-time data processing with Syncsort DMX-h. Knowing that real-time means different things to different people, the engineer asked what exactly the customer meant by real-time. He said, “We want to be able to move our data out of the database and into...[read more]