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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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The Importance Of Semi-Structured Data
  • September 15, 2020

The Importance of Semi-Structured Data

Understanding data is an important part of running any business.  Typically, analysis is performed on data that is stored in forms, spreadsheets, and relational databases.  These are all related to what we know today as structured data.  However, constraining data with forms and tables in a modern business environment is no longer sufficient. The…

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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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Announcing A New Actian ODBC Connector In The Tableau Extension Gallery
  • August 21, 2020

Announcing a new Actian ODBC Connector in the Tableau Extension Gallery

There's now an easier way to connect to Avalanche from Tableau using the new Actian ODBC connector available in the Tableau Extension Gallery. Actian and Tableau have partnered for the past several years to deliver a seamless connectivity experience to our customers. To take advantage of Tableau's latest analytical features, the two teams engaged…

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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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How Well Do You Actually Know Your Customers?
  • August 5, 2020

How Well Do You Actually Know Your Customers?

One of companies’ biggest mistakes is assuming they understand their customers’ needs, preferences and buying behaviors when they are actually just guessing. The better you understand who your customers are, the more successful you will be developing products and services to serve their needs, packaging them in a desirable way and communicating your offers…

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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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Connected Data In The Cloud Increases AI System Performance
  • June 29, 2020

Connected Data in the Cloud Increases AI System Performance

Artificial Intelligence (AI) is the core of the next wave of IT systems, and it is time to get ready. The past year has seen tremendous growth in the adoption of artificial intelligence systems to help companies improve operational insights and provide enhanced customer service experiences.  If you aren’t leveraging AI to support your…

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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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Real-Time Decision-Making Use Cases In The Retail Industry – Part 3
  • May 26, 2020

Real-Time Decision-Making Use Cases in the Retail Industry – Part 3

In the first part of my blog on Real-Time Decision-Making (RTDM) highlighting Retail industry use cases, we discussed how combining existing historical data patterns with disparate new sources of data completes the Common Operational Picture (COP).  To illustrate the use-case, we used an Actian customer, Kiabi, and how they used RTDM strategic capabilities to…

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Real-Time Decision-Making Use Cases In The Retail Industry – Part 2
  • May 18, 2020

Real-Time Decision-Making Use Cases in the Retail Industry – Part 2

In my last blog on Real-Time Decision-Making (RTDM), I shifted from a theoretical discussion of what RTDM is to uses cases that highlight key aspects of the value it can bring to business in periods of market uncertainty. I'm using the Retail Industry because its an Industry everyone knows something about coupled with the…

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Introducing Actian VectorH 6
  • April 24, 2020

Introducing Actian VectorH 6

Actian VectorH 6 Enables User Defined Functions, Machine Learning, Semi-Structured Data Support, and Enhancement of Workload Management Capabilities. Actian is pleased to announce the availability of Actian VectorH 6.  This release includes new features, including User Defined Functions (UDFs), JSON Support, and Workload Management. This post provides an overview of some features that have…

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Are You Afraid To “Lift The Lid” On Cloud Technology?
  • April 23, 2020

Are you afraid to “Lift the Lid” On Cloud Technology?

The Opening of the Box As was the case with Pandora's box, once the lid is opened on cloud technology and you realize that perhaps the shiny new object interior didn't provide what you expected from your investment in the technology, it may be too late to change directions. So is the case with…

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