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Predictive Analytics Can Reduce Customer Churn And Optimize Marketing Efforts
  • September 17, 2020

Predictive Analytics can Reduce Customer Churn and Optimize Marketing Efforts

All customers are not equal – there are some your business just can’t afford to lose. Do you know who they are and what is required to retain them? With predictive analytics powered by Actian Avalanche, you can do just that. Companies have been using statistical modeling, data correlation and behavioral forecasting for many…

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What To Do When Your Data Warehouse Chokes On Big Data
  • August 26, 2020

What to do when your Data Warehouse Chokes on Big Data

This may seem like an academic question, but it is increasingly becoming a reality for modern businesses. What do you do when you have millions of records with infinite width and depth, and your data warehouse chokes?  Do you trim your data?  Do you add more infrastructure capacity?  Or do you need to look…

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The Impact Of Updates On Data Warehouse Performance
  • August 20, 2020

The Impact of Updates on Data Warehouse Performance

When companies project data warehouse growth, they often look at a curve that mimic’s the growth of data in source systems.  This approach works if all you are concerned with is storage growth.  What is commonly overlooked is the compute growth curve for processing updates to your data.  As IT systems become more interconnected,…

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What Is Enterprise Data Integration, And Why Does It Matter?
  • August 19, 2020

What is Enterprise Data Integration, and why does it Matter?

Enterprise Data Integration is the merging of data across two or more organizations.  This scenario is most commonly found when companies are going through mergers or acquisitions, and data from the two companies need to be brought together.  Other scenarios for Enterprise Data Integration are joint-partnerships (where two or more companies work together under…

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Where You Do Analytics Processing Matters
  • July 20, 2020

Where you do Analytics Processing Matters

The Vector for Hadoop offering from Actian delivers increased performance for analytic queries without the associated increase in cost.  If you are looking for high-performance analytics processing to drive operational decision making, where you do your processing matters.  By minimizing the movement of data and processing locally, you can drastically reduce latency.  By using…

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Market Basket Analysis Will Improve Product Positioning And Profitability
  • July 17, 2020

Market Basket Analysis Will Improve Product Positioning and Profitability

 “Would you like fries with that?” If you’ve ever ordered a sandwich at a fast food restaurant, then you’ve likely heard these words, but have you stopped to consider why fast food chains train their employees to ask this question? It’s because of what’s called “market basket analysis,” a technique based on the theory…

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Operationalizing Your Hadoop Data Lake
  • July 15, 2020

Operationalizing your Hadoop Data Lake

Have you ever tried to join your fact and dimension tables together to generate operational analytics? If you want to perform large scale data analysis on things like customer churn, you’re probably going to need to do this.  The problem is, these tables are very large, and when you bring them together, the resulting…

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Marketing Agility Through Real-Time Analytics
  • June 24, 2020

Marketing Agility through Real-Time Analytics

Today’s marketplace is complex and competitive, and changes quickly. New competitive products and services are entering the market every day. Customer preferences shift with social trends and pricing dynamics continuously evolve. To win in this type of environment, marketing agility is critical to identify opportunities and threats and to respond to them quickly –…

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Actian Vector For Hadoop File Format Is Faster And More Efficient
  • June 5, 2020

Actian Vector for Hadoop File Format is Faster and More Efficient

In this third and last part of the series on Actian Vector in Hadoop (VectorH), we will cover how the VectorH file format supports the performance and efficiency of our data analytics platform to accelerate business insights, as well as some of the other enterprise features that can help businesses move their Hadoop applications…

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Reducing Customer Churn In The Telecom Industry With Connected Data
  • April 13, 2020

Reducing Customer Churn in the Telecom Industry with Connected Data

Customer loyalty is the key to profitability in the telecom industry. Because telecom providers manage large fixed infrastructures that must be offset by revenue, customer churn (attrition) is particularly problematic in this industry. Low switching costs for customers (supported by government regulations) mean that customer loyalty is the only real tool that telecom companies…

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Financial Services Companies Need All The Data Analytics They Can Get
  • April 8, 2020

Financial Services Companies Need all the Data Analytics They Can Get

There are times when financial markets trend up. There are times that markets trend down.  And then there are times that the markets go crazy and the only thing predictable is volatility. When markets encounter these volatile periods, financial services companies become highly reliant on data analytics to determine where the real market forces…

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Healthcare Analytics Improve Operational Efficiency
  • April 6, 2020

Healthcare Analytics Improve Operational Efficiency

Healthcare is a data-driven industry with data analytics needs that make “big data” seem tiny.  For healthcare companies to operate efficiently, they need a high-power data engine to crunch the numbers, analyze the data, and get it into the hands of decision-makers quickly.  The healthcare industry is the epitome of business agility, and data…

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Data Warehouse Appliances Are Becoming History
  • April 6, 2020

Data Warehouse Appliances are Becoming History

The era of data warehouse appliances is coming to an end, rapidly being replaced with a new generation of cloud services.  The first data warehouse appliance was introduced onto the market in 2003.  For nearly 15 years, this market grew with several large technology players, including IBM, Oracle, and Teradata developing or acquiring database…

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