Actian Vector scales vertically on SMP systems running on popular Linux distributions. Linux based Hadoop clusters enable Vector to scale to hundreds of servers.

Vector in Hadoop lets Vector to scale beyond a single node to support thousands of users and petabytes of data. Vector makes use of YARN for workload management across available nodes. The HDFS file system stores Vector data at greater than 10x compression. Unlike traditional SQL on Hadoop analytic solutions, Vector accommodates small incremental updates to support operational data warehouses.

Amazon Web Services (AWS) supports Vector in single node and clustered configurations. Third-party benchmarks using standard workloads have demonstrated Vector significantly outperforms Microsoft SQL Server, Cloudera Impala, Amazon Redshift and Snowflake databases on AWS. Vector is available as an AMI on the Amazon Marketplace and supports BYOL deployments for private or hybrid cloud deployment.

Actian Vector is available on the Microsoft Azure virtual marketplace. Vector is available on Azure in both Community and Enterprise editions.

Most companies doing segmentation use basic account information and demographics to find groups of customers based on high-level account and behavior metrics. Historical information often is so voluminous, companies are forced to work with samples. With Actian, you can connect to and mine all of your data, including big data sources, to get a detailed, holistic view of the customer.

Uncovering relationships between customers and key purchase drivers and predicting the value of each customer along thousands of customer attributes, you can uncover new segments that your competition isn’t thinking about yet, increasing conversions and gaining higher returns on your marketing investment.

Create a better customer experience with targeted offers, appropriate responses, and effective dialogue. True customer engagement that is built on a deep understanding of specific needs and wants leads to more satisfied customers and longer lasting relationships, increasing revenue and wallet share for your business.

Measure and maximize current and forecasted customer value across a number of products, segments, and time periods to design new programs that accentuate your best customers and provide you with a distinct business advantage.

Connect to all of your data, from account histories and demographics to mobile and social media interactions, and blend these disparate sources with speed and accuracy. Uncover key purchase drivers to understand why someone purchases or rejects your products. Assign customer value scores by correlating which characteristics and behaviors lead to value at various points of time in the future.

Generally, it is more cost effective to sell to existing customers than it is to accumulate new ones. Optimize outbound marketing to give prominence to your high-value customers. Customize inbound customer touch centers by arming call centers with highly personalized customer scores. Increase customer lifetime values cost effectively with individual precision, improving both loyalty and profitability.

Maximize long-term customer value by not only predicting what a customer will do next, but influencing that action as well.

If you want specifics about customer behavior and spend, you need all data available to you, structured or unstructured, from traditional enterprise sources, social networks, customer service interactions, Web click streams, and any other touch points that may occur. Actian allows you to connect to all of your data to build complete customer profiles, regardless of format or location, which feed into your data science models.

Use micro-segmentation models to find and classify small clusters of similar customers. Customer value models predict the value of each customer to the business at various intervals. Combining the output of these two models into a personalized recommendation engine gives you the information you need to take action that gives you a distinct competitive advantage. You can optimize your supply chain, customize campaigns with confidence, and ultimately drive meaningful, personalized engagements.

Stand out in a crowded market and capture more wallet share using Actian to deploy effective, innovative, highly personalized campaigns through deep analysis.

Traditional campaign optimization models use limited samples of transactional data, which can lead to incomplete customer views. Actian allows you to connect to social media and competitor web sites in real time to learn which competitive offerings are gaining traction in the marketplace. Web purchasing patterns and call center text logs stored on Hadoop provide valuable insight into customer interactions. Marketing and campaign data ensure any recommended actions comply with company goals, rules, and regulations.

Actian helps you build, test, and deploy campaigns with rapid succession. Quickly learn when to make adjustments and adapt to changes in the market or your customer base. With your customer scores and optimized lists in hand, you can design innovative campaigns that allow you to create and sustain a competitive advantage.

Churn prediction models have been limited to account information and transactional history, a tiny fraction of available data. With Actian, increase the accuracy of churn predictions by combining and analyzing traditional transactional and account datasets with call center text logs, past marketing and campaign response data, competitive offers, social media, and a host of other data sources.

Discover customer classifications and assign customer lifetime and churn scores to understand which customers you can’t afford to lose. Generate raw churn predictions informed by individual customer profitability. Use the insights gained to transform the customer experience without spending more than necessary.

With Actian, share personalized recommendations with customer representatives, outbound marketing campaigns, and product and service supply planners. Create programs to retain your high-value customers and offload less profitable segments. As a result, you can boost average revenue per customer, improve customer satisfaction and loyalty, optimize supply chains, accurately price products, and plan for new releases.

Uncover your most profitable product groupings, learn which products benefit most from associations with other products, know optimal shelf arrangements, and better target marketing and promotions—all to increase retail revenue.

Market basket analysis models are typically limited to a small sample of historical receipt data, aggregated to a level where potential impact and insights are lost. With Actian, bring in additional sources, in varying formats, enabling discovery of critical patterns, at any product level, to create a competitive advantage.

Actian enables data science models and advanced analytics to go deeper into detailed associations on all product relationships, and segment customers and spending habits into similar groups to learn more about shoppers.

With detailed shopper segmentation and market basket analysis results, create a shelf optimization plan that identifies your highest performing product groups. Discovering buying patterns can lead to targeted promotions with greater impact on the customer experience to increase business value.