AnalytiX Data Services: Accelerate Productivity through Code Automation and Enterprise Data Mapping Tools
Enterprises are on a buying spree when it comes to productivity tools. It is not to eliminate the jobs but combine employees and technology to get more work done in given time. “We often talk about the fact that the people could dig a pool with a teaspoon, but why would they. Without automation tools for IT, enterprises are effectively digging that pool the hard way,” contemplates Michael Boggs, Founder and CTO, AnalytiX DS. More often than not the project delays are caused due to lack of end-to-end visibility, prone to human error, and riddled with issues around sharing of Excel Spreadsheets without version control. Boggs set out to solve these problems and founded AnalytiX DS that builds IT tools to eliminate project delays due to long cycles in the mapping and design phase of integration projects. “Our tools enable fast access to metadata with custom built scanners that bring more and richer information into the repository, making it easy to ‘drag and drop’ to build accurate mappings in half the time of traditional means.” Later, the company leverages this centralized mapping and metadata with web-services and internal API’s to create automation that would further accelerate the process, while keeping everything version controlled, easily maintained and fully auditable.
AnalytiX DS has created the industry’s first code automation framework for data integration professionals, calling it CATfX (Code Automation Template FrameworX), using their existing ETL (Extract, Transform and Load) Platform and Big Data Platforms. CATfX also helps create reusable ETL templates for even the most complex scenarios, and leverage all of the existing tools in the architecture by using the centralized mapping, metadata, and automation platform called AnalytiX Mapping Manager.
AnalytiX DS has created the industry’s first code automation framework for data integration professionals, calling it CATfX (Code Automation Template FrameworX), using their existing ETL (Extract, Transform and Load) Platform and Big Data Platforms. CATfX also helps create reusable ETL templates for even the most complex scenarios, and leverage all of the existing tools in the architecture by using the centralized mapping, metadata, and automation platform called AnalytiX Mapping Manager.
Whether Enterprises are looking for instant access to impact analysis and lineage, the ability to generate hundreds of mappings and ETL jobs with a few clicks, or the foundation of a world-class Big Data Acceleration Strategy, we can make it happen!
Michael Boggs, Founder & CTOAnalytiX DS has helped clients from various verticals to overcome challenges with manual Excel based mappings, automation, collaboration, and better quality designs through Mapping Manager. For instance, our biggest industries are healthcare and financial services because those organization have lots of data, lots of data being moved and federated, and are heavily regulated which means the data mappings should fall under governance and audit controls. This is where our platform really shines. “We view Mapping Manager as a way to passively enforce best practices for data governance because it has a very high adoption rate among users, and information put into the tool is used to enforce very specific standards without any conscious thought by the end user,” says Boggs.
“We have a very robust roadmap being that we are catering to business in every vertical worldwide, we see new requests for functionality every day,” states Boggs. “Our model is ‘Customer Driven Development’.” Further, AnalytiX DS is enhancing its Template Libraries so that the customers have access to a wealth of pre-fabricated automation templates in its “CATfX Marketplace”.
“Being flexible is the way to win this market, and we are known to make enhancements at no cost to get the customer what they need,” concludes Boggs.
Company
Analytix Data Services
Headquarters
Chantilly, VA
Management
Michael Boggs, Founder & CTO
Description
Specializes in the development of ‘agile tools’ for data integration which automate manual processes and enable organizations to accelerate delivery and operate more efficiently
