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Big Data SQL 3.0 Bridges Multiple Data Platforms Like Never Before

December 7, 2016 by Rehan Sheikh

Oracle has been a leader in the big data movement since its inception. Back in March, they introduced a new solution called Big Data SQL 3.0.Oracle Database customers frequently use Hadoop and NoSQL, so Big Data SQL 3.0 was developed with them in mind. Here are the three main benefits.Compatible With Major Hadoop ServicesThe biggest...[read more]

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Why Artificial Intelligence Will Be Analog

December 6, 2016 by Sean Mallon

For many people, the word “digital” is synonymous with modern, technologically advanced programs or devices capable of performing complex processes in a fraction of the time that it would take a manual or analog system to do the same thing. Analog, on the other hand, is generally thought of as old-fashioned and something that needs to be...[read more]

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Using Big Data to Achieve Sales Excellence

December 1, 2016 by Andrew Armstrong

Discover how using big data allows today's leading businesses to "skate to where the puck is going" to win deals in today's dynamic marketplace.[read more]

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Five Data Preparation and Analytics Predictions for 2017

November 29, 2016 by Jon Pilkington

 Believe it or not, 2017 is fast approaching. And while 2016 was a breakthrough year in the self-service data preparation and analytics world, 2017 will bring just as many – if not more – innovations that continue to transform how data scientists, data analysts, and business users harness insights to deliver business value and...[read more]

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How Big Data Helps Boost Marketing Conversion Rates

November 28, 2016 by Philip Piletic
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The many new resources and techniques continuously entering the marketplace mean that advertisers have no shortage of new methods for attracting buyers and boosting sales conversions. Big data is one of these developments, and it has the potential to transform the manner in which advertising is approached.[read more]

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The Analytics Software Learning Curve – How Steep Should You Go?

November 10, 2016 by Paco Darcey

There are a few different, and sometimes opposing forces in analytics software which make the process of evaluating, purchasing, implementing and using BI software products a complex process. The rapid pace of unstructured and structured data growth in many companies requires a reporting system which is sophisticated and powerful for:...[read more]

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Data Center Risk Assessment: Dangers of Arc Flash

November 10, 2016 by Megan Nichols

Data servers have access to their own cooling and power systems, however, without proper safety precautions, they're exposed to electrical risks, like arc flash. Don't let your data center fall victim.[read more]

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Want to Fully Leverage Data? Change the Way You Operate

November 9, 2016 by Rado Kotorov

We’re on the edge of a paradigm shift in the way organizations operate–and rightfully so. New technologies are developed daily and will only contribute to even larger volumes of information. To take advantage of the value data holds, enterprises need different skill-sets, decision-making structures and a new lens for evaluating business challenges.[read more]

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Responding to a Data Breach Starts at the Top

November 8, 2016 by Ryan Ayers

Data breaches can tarnish a company’s reputation, making it very difficult to win back customer loyalty and support. A leader’s response to a data breach can mean the difference between damage control and total chaos.[read more]

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4 Ways You Can Use Big Data to Market to Millennials in 2017

November 7, 2016 by Rehan Sheikh

Millennials are making a huge impact on the world. Since passing the Baby Boomers in population in 2012, it was forecasted that business practices needed to shift their marketing strategies soon. Well, ‘soon’ has arrived and by 2017, you’ll need to focus your marketing more toward this generation.Big data is going to be a key factor in...[read more]

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Will Predictive Analytics and POS Save Small Retailers from Extinction?

November 4, 2016 by Rehan Sheikh

Global brick-and-mortar retailers are struggling to compete against their digital rivals. Smaller retailers have been suffering the most, because they can’t compete on the same margins as larger competitors. Some experts have warned that small retailers will eventually be extinct. According to Marc Bain:“In a recent survey (pdf), 58% of...[read more]

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Hybrid Systems Integrations for Right Sized ERP

November 2, 2016 by Glenn Johnson

Finding the right integration strategy across ERP, CRM, Warehouse Management, PLM and cloud environments[read more]

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Big Data Pitfalls That Undermine Marketing Automation Goals

October 31, 2016 by Rehan Sheikh

According to the Lenskold Group’s 2013 Lead Generation Marketing Effectiveness Study, 49% of businesses use marketing automation. Marketing automation allows businesses to cut costs and make better informed marketing decisions.Successful marketing automation strategies are highly dependent on big data. Brands should understand the role...[read more]

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How will Analytics and the Internet of Things Influence Marketing in Coming Years?

October 24, 2016 by Philip Piletic

The Internet of Things (IoT) is defined as the increased interconnectivity between all devices capable of using wireless communication technology. It's estimated that by the year 2020, there will be between 50 and 75 billion devices connected to the internet worldwide. Where there's connectivity, there's information. And smart people know how to turn information into profit.[read more]

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Why It's Time To Get Smart About Recovery

October 20, 2016 by Livia Alexandra

Analytics is all the hype these days, and for good reason. Taking the power of analytics and applying it to the backup and recovery process will be a boon for the IT industry. Analytics will help deal with the data hoarding epidemic and ensure critical data is backed up, without financing storage space and data management for all those pictures of your aunt's cats.[read more]

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The True Vision of Big Data in Healthcare

October 19, 2016 by Jared Jaureguy
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From the impact of wearable technology to the potential for boosting cancer research, there’s been a lot of buzz about big data in the healthcare space. However, the true vision of big data in healthcare lies not in individual data collection or disparate applications, but in the potential of combining healthcare data to create new...[read more]

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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]

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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]

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Predictive Analytics: The Dos and Don'ts

October 17, 2016 by Rado Kotorov
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For organizations looking to make the most out of their relationships and processes, the discovery of meaningful information via analysis can often prove valuable and lead to substantial insight. Data that reveals facts about customers, for example—such as identifying customers who cancel accounts and leave for the competition, those in...[read more]

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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]