A real-world example of how Treehouse Software is helping enterprises with their Mainframe-to-Cloud / LUW / Open Systems data migration and replication initiatives…

by Joseph Brady, Director of Business Development for Treehouse Software

Many medium to large size companies are still investing in new mainframe systems, because they have been relying on them for decades to handle mission critical data transaction processing. For these companies, their mainframes are deeply entrenched, and have been rock-solid reliable over the years, allowing many users and applications to simultaneously access the same data without interfering with each other. Mainframes also perform large-scale and extremely fast transaction processing (thousands of transactions per second). Chances are, most transactions for which you use your debit or credit cards have a mainframe processing the data in the background.

There have been countless predictions of the demise of the mainframe over the years, but they have been proven wrong every time, and there’s no sign of extinction any time soon. Mainframes remain a vital part of IT infrastructures used by companies spanning a variety of industries around the world, including banking, insurance, healthcare, government, aviation, and retail.

Today, most companies that have their enterprise data stored on a mainframe system are discovering the advantages of newer cloud and open systems databases and services, including instantaneous global database deployments (e.g., Amazon Aurora), economics to scale, high availability, elasticity, security, testing at scale, disaster recovery, etc. Consequently, these companies are looking for an automated solution that allows real-time data replication between the two environments, and many are turning to Treehouse Software.


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Customer Scenario: A Look at a Large Airline’s Mainframe Data Replication Project

Treehouse Software has a major airline customer that is a long-time user of Software AG’s Adabas database on their mainframe system. Their desire was to move their data to more modern applications off of the mainframe. However, their mainframe contains vital airline maintenance and parts data that must always be highly available, so rather than performing a complete migration from the mainframe, the customer decided to utilize a data warehouse with a requirement of real-time data replication. This allows the mainframe legacy teams to maintain existing applications, while the modernization team develops applications on the newly created RDBMS. All teams determined that tcVISION real-time mainframe data replication was the perfect fit for meeting their goals.

How tcVISION Addressed the Customer Needs...

The high-level environment for the airline customer using tcVISION for data replication looks like this…

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  • Adabas: Mainframe data source containing business critical information replicated to the RDBMS.
  • Oracle: Open Platform RDBMS chosen by customer as replication target for both data warehouse and modernization project. The tcVISION Manager also uses Oracle as a repository for the metadata (field mappings).
  • tcVISION Manager: Software component deployed on both source and target systems. It is responsible for provisioning resources for:
    • Processing scripts
    • Metadata import
    • Scheduling
  • tcSCRIPT: Software component deployed on both source and target systems. It works in conjunction with the tcVISION Manager to:
    • Perform initial load of Adabas into Oracle
    • Ongoing near realtime CDC (Change Data Capture) and replication from Adabas to Oracle
    • tcSCRIPT processes data from:
      • Direct from the DBMS (initial load) or from DBMS extracts
      • Adabas Protection log (PLOG)
  • tcVISION Control Board: Software component deployed on a Windows machine which provides graphical user interface for a single point of control to administer the tcVISION environment:
    • Metadata import, creates metadata rules governing relationship between mainframe and open platform data structures
    • Replication rule maintenance
    • DDL creation
    • Creation of ETL and replication processes
    • Start, stop, and schedule replication processes

Customer’s Technical Requirement for tcVISION

The airline requires that the replication solution must support online and batch Adabas transactions and provide data replication between Adabas and Oracle. Additionally, their large databases contain millions of rows (e.g., > 50 million) that must be supported, as well as support for database change audit requirements (datetime and type of operation), transaction management, and notification of exception events.

There must also be support for configuration management between development, QA, and production.

Finally, the solution must address hardware and software failures on the mainframe, Linux, and database nodes.

Customer Outcomes

All requirements were met by tcVISION, which led to a successful project implementation.  Here is a look at the customer outcomes and benefits:

Business Outcome Customer Benefit
Data warehouse is always in sync with Adabas using tcVISION data replication Improved timeliness and reliability of reporting data
Reduced usage of mainframe MIPS Reduced cost
All data required for modernization project was successfully replicated to target environment Increased business efficiently and agility

Many more mainframe data migration and replication customer case studies can be read on the Treehouse Software Website.


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Contact Treehouse Software for a Demo Today…

No matter where you want your mainframe data to go – the cloud, open systems, or any LUW target – tcVISION from Treehouse Software is your answer. 

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Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.


Further reading: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software

STAY AND GO… AT THE SAME TIME! Incrementally Replicate Your Mainframe Data to the Cloud and Other Modern Systems While Keeping Both Sides Synchronized

Is your mission critical mainframe data residing on IBM Db2, IBM VSAM, IBM IMS/DB, Software AG Adabas, CA IDMS, CA Datacom, or even sequential files? Are you looking for a solution that allows your legacy mainframe environment to continue while replicating data – in real time and bi-directionally – on a variety of newer Cloud, LUW, or Open Systems databases? Whether your enterprise wants to take advantage of the latest cloud services, such as analytics, artificial intelligence (AI), etc., or move your data to a variety of newer Cloud, LUW, or Open Systems databases, the transition doesn’t have to be a sudden big bang.

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tcVISION: Enterprise ETL and Real-time and Bi-directional Data Replication Through Change Data Capture

The globalization of markets, the increase of data volumes, 24×7 operations, changing business conditions and high demand for up-to-date information require new data transfer and exchange solutions for heterogeneous IT architectures.

The tcVISION solution focuses on changed data capture (CDC) when transferring information between mainframe data sources and modern databases and applications. Through an innovative technology, changes occurring in any mainframe application data are tracked and captured, and then published to a variety of targets.

tcVISION allows bi-directional, real-time data synchronization of changes on either platform to be reflected on the other platform (e.g., a change to a PostgreSQL table is reflected back on mainframe). The customer can then modernize their application on the cloud, open systems, etc. without disrupting the existing critical work on the legacy system.

tcVISION – Supported Sources and Targets

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Cloud, Linux, Unix, and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

View the Unequalled List of Environments Supported by tcVISION Here


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Contact Treehouse Software for a Demo Today…

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your tcVISION demonstration. This will be a live, on-line demonstration that shows tcVISION replicating data from the mainframe to a Cloud target database.

Treehouse Software’s Mainframe-to-AWS Data Replication Solution is Featured on the AWS Partner Network Blog

“We are very excited about the APN blog showcasing tcVISION’s Mainframe-to-AWS capabilities to such a substantial and relevant audience. The AWS partner and customer base not only has access to our solution via the tcVISION AMI in the AWS Marketplace, they can now use the tcVISION blog as a valuable educational and marketing tool!”

– Joseph Brady, Director of Business Development and AWS Alliance Lead at Treehouse Software

READ THE BLOG HERE


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Since 1982, Treehouse Software has been serving enterprises worldwide with industry-leading software products and outstanding technical support. Today, Treehouse Software is a global leader in providing data migration, replication, and integration solutions for the most complex and demanding heterogeneous environments, as well as feature-rich, accelerated-ROI offerings for information delivery, business intelligence and analytics, and application modernization.

Want to See a Live, Online Demonstration of Mainframe-to-Amazon Web Services (AWS) Data Replication using Treehouse Software’s tcVISION?

tcVISION is a powerful and comprehensive solution for real-time, bi-directional replication of mainframe data to AWS. tcVISION’s GUI modeling and mapping, and ease of migrating data to AWS makes it an ideal choice for modernizing large mainframe environments. Additionally, tcVISION can synchronize mission critical data from a mainframe system on AWS. Real-time, bi-directional data synchronization enables changes on either system to be reflected on the other system (e.g., a change to a PostgreSQL table on AWS is reflected on the mainframe database). This allows businesses to modernize an application on AWS without disrupting the existing critical work on the legacy system.

Contact Treehouse Software today for a live, online session that demonstrates real-time replication of mainframe data to Amazon RDS instances!

Example of a Treehouse Software Mainframe-to-AWS Data Replication Demo Environment…

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tcVISION Technology

tcVISION‘s support for AWS as a target is fully integrated alongside traditional Linux/Unix/Windows (LUW) targets such as PostgreSQL, Oracle Database, IBM DB2 LUW, Software AG Adabas LUW, IBM Informix, Sybase, Microsoft SQL Server, and ODBC.

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tcVISION considerably simplifies mainframe data exchange processes. The structure of the existing mainframe data is analyzed by tcVISION processors, then automatically mapped to a target data mapping. The data mapping information is presented in a user-friendly and transparent format – even for users with no mainframe knowledge.

The mapping information is saved in a meta data repository hosted on a relational database, and can easily be made available to other applications. The Windows-based Control Board of tcVISION provides an easy-to-use facility to administer the data flow. tcVISION provides a variety of interfaces to allow seamless integration with ETL or EAI solutions.


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Since 1982, Treehouse Software, Inc. has been serving enterprises worldwide with industry-leading software products and outstanding technical support.  Today, Treehouse Software is a global leader in providing data migration, replication, and integration solutions for the most complex and demanding heterogeneous environments, as well as feature-rich, accelerated-ROI offerings for information delivery, business intelligence and analytics, and application modernization.

 

 

Treehouse Software Collaborates with Amazon Web Services (AWS) to Offer Comprehensive Enterprise Mainframe-to-AWS Data Replication

Press Contact: Joe Brady (+1.724.759.7070 x110; jbrady@treehouse.com)

Pittsburgh, PA; Treehouse Software, Inc., of Sewickley, PA is pleased to announce an agreement with Amazon Web Services (AWS) to offer enterprise customers a complete Mainframe-to-AWS data replication solution to provide them with fast and easy access to the cloud.

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Treehouse Software’s tcVISION is a powerful and mature software product designed for real-time, bi-directional replication of mainframe data to AWS. tcVISION’s GUI modeling and mapping, and ease of migrating data to AWS makes it an ideal choice for modernizing large mainframe environments.

Additionally, tcVISION can synchronize mission critical data from a mainframe system on AWS.  Real-time, bi-directional data synchronization enables changes on either system to be reflected on the other system (e.g., a change to a PostgreSQL table on AWS is reflected on the mainframe database). This allows businesses to modernize an application on AWS without disrupting the existing critical work on the legacy system.

“Through this exciting new collaboration, Treehouse Software and AWS are working together to offer customers with mainframe systems a straightforward solution for enhancing their business agility,” said George Szakach, President of Treehouse Software. “We provide our proven mainframe data delivery capabilities, and the customer benefits from modernization of their data within the flexible, scalable, pay-as-you-go offering on AWS.”

Video – How does tcVISION replicate mainframe data to AWS?


About Treehouse Software, Inc.

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Since 1982, Treehouse Software, Inc. has been serving enterprises worldwide with industry-leading software products and outstanding technical support.  Today, Treehouse Software is a global leader in providing data migration, replication, and integration solutions for the most complex and demanding heterogeneous environments, as well as feature-rich, accelerated-ROI offerings for information delivery, business intelligence and analytics, and application modernization.

Where Do You Want to Go?

Enterprise ETL and Real-Time, Bidirectional Data Replication Between Virtually Any Source and Target.

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Planning a data replication project between mainframe, Linux, Unix, and Windows platforms? We now have downloadable data sheets that individually focus on supported data replication sources and targets.


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

 

Treehouse Proof of Concept: Bi-directional Replication Between Adabas and SQL Server

Chris Rudolph and Kevin Heimbaugh, Senior Technical Representatives for Treehouse Software, visited a customer site (a large retail and distribution company) to perform a five-day proof of concept (POC) of tcVISION with bi-directional replication between Software AG’s Adabas and Microsoft SQL Server.

Chris and Kevin initially met with the customer team, consisting of the DBA, Applications Manager, and a technical applications person. The agenda for the week was set to:

  • Import metadata from several Adabas files
  • Bulk load the Adabas data into SQL Server
  • Set up replication from Adabas to SQL Server
  • Add the bi-directional replication back to Adabas

Additionally, there were a few other items the customer wanted the Treehouse team to address, including support for date formats; timestamps for bi-directional replication to avoid update conflicts; using Predict views to define multiple SQL Server tables; and support for MUs and PEs. Chris noted that everything on the customer’s list is easily supported, and there are several options for the update scenarios that can be used.

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After the tcVISION components were installed, the POC began by using tcVISION’s Control Board to define a metadata repository database in SQL Server. Once that was set, the teams moved on to import the first Adabas file’s metadata using tcVISON’s Metadata Import Wizard. As part of this process tcVISION generated Adabas to SQL Server schemas and field-to-column links as well as created target tables in SQL Server. Bulk Transfer scripts were created using a wizard to read the Adabas file on the mainframe, and load the data into SQL Server using the SQL Server bulk loader. Chris created a control script to show how tcVISION can concurrently bulk transfer multiple Adabas files into SQL Server This required increasing the tcVISION Manager’s VSE partition size to successfully test multiple load scripts executing in parallel.

The teams moved on to define the real-time change data capture (CDC) scripts necessary to process the Adabas PLOG. The tcVISION scripts use a two-phase approach to queue captured Adabas transaction on the open platform, then transform and apply the transactions to SQL Server. The scripts were set up to automatically generate detailed logs to track the PLOG transactions captured, SQL statements successfully applied to SQL Server, failed SQL statements, and informational items such as auto-corrected data and transactions rejected due to processing rules.

Now that several tables were defined and loaded, the bi-directional process was set up. SQL Server CDC was enabled for each table to be replicated. The team made a change within SQL Server and verified that the change show up in the SQL Server CDC tables. The SQL Server-to-Adabas mappings were defined in the tcVISION metadata repository, including the “back update check” to ensure only non-tcVISION transactions are captured, and the scripts on both Windows and mainframe were defined to create the LUWs from the SQL Server CDC and apply the changes to Adabas.

CDC from SQL Server to Adabas was successfully tested. Chris then showed the ability to create Journal replication where each change can be captured by replication type. The team spent time creating a few more mappings so multiple file / table updates could be tested, in addition to doing updates while the scripts were stopped to simulate a lost connection. This included setting up a new script to process copied PLOG datasets created by the ADARES utility.

The team defined the remainder of their Adabas files to the metadata repository. Some were set them up for bi-directional replication, and others were setup for unidirectional replication and Journal replication. Everything work as expected at the wrap-up meeting where the team provided a live demonstration to management of tcVISION and the items accomplished. The final tcVISION presentation and demo went very well, and everyone was pleased with the progress made during the week.


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION provides easy and fast data migration for mainframe application modernization projects and enables bi-directional data replication between mainframe, Linux, Unix and Windows platforms.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

TREETIP: tcVISION Allows for Surprisingly Innovative Uses

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Treehouse Professional Services consultants help Adabas / Natural customers in a variety of ways, including DBA services, performance tuning, change management implementation and training, and data replication planning and training. Our experience and long history of service to the Adabas / Natural community helps us create innovative solutions for our customers’ challenges.

Recently Treehouse Senior Technical Representative Chris Rudolph assisted a customer with a tricky data replication problem. The customer uses tcVISION to perform bi-directional replication between Adabas and an RDBMS during the phase-in of a new application. Unfortunately, the new application incorrectly updated certain columns in the RDBMS, which were then replicated to Adabas. The customer attempted to address the issue by running a series of ADASEL reports against the Adabas PLOG and manually checking for “bad” transactions, which was a very time consuming process that pulled the Adabas DBA away from her normal duties.

Chris explained that tcVISION could expedite the process by replicating all transactions for the Adabas file to a journal table capturing the “before” and “after” values of the problematic columns. The developers working on the new application could then identify invalid values, correct the application, and patch the data themselves. This also allowed the Adabas DBA to return to their normal duties.

The journal table now includes columns to display the “before” and “after” values of the corrupted column, Adabas transaction time, end transaction time, operation and Adabas userid. The customer’s developers immediately recognized immense value from being able to query the journal table to find bad data, patch the data, prove that corruption is no longer taking place, and verify that all corrupted instances of the data have been patched. Journal tables have been added for all replicated Adabas files, and the developers now rely on the journal tables for all of their data patches.


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION provides easy and fast data migration for mainframe application modernization projects and enables bi-directional data replication between mainframe, Linux, Unix and Windows platforms.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

Smart Solutions for “Data Source-to-Customer Experience” from Treehouse Software

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Treehouse Software provides world-class capabilities to acquire data from relevant structured sources–especially mainframe-based sources–across the enterprise, enabling solutions leveraging Cognistx technology to offer the most advanced interaction with your customers.

Retailers Adopting Cognitive Technology to Drive Business

Meet a new cognitive-powered app that’s changing the customer experience. Using the SmartCognitives Engine™, it harnesses the full power of customer data to create intelligent, individualized offers specifically designed for each customer. It’s how Cognistx is helping Mr. Tire reach their millions of customers as true individuals, drive incremental revenue, convert data into insights and lead the cognitive revolution in the automotive industry. Check out the video below to see it in action.

Turning data into insights, insights into customer actions, and those actions into revenue…

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Cognistx applies the latest in machine learning technology (AI) — including Big Data, advanced analytics, artificial intelligence and natural language processing — to solve your business challenge. From app-based retail solutions to help desk chat interfaces, clickstream interceptors to call center systems and more, this technology helps solve your most pressing issues.

Smarter with each interaction

The SmartCognitives Recommendation Engine is always learning and automatically delivering smarter, more relevant offers so your marketing is faster, more accurate and more efficient. It can be integrated into your mobile apps, web sites, databases, POS systems and more — for smarter solutions right away.

Transforming consumers into Individuals

Imagine being able to target consumers as unique individuals and serving up exactly what they want exactly when they need it most. No one wants to be treated like a consumer — but people do want to be treated like individuals. That’s why Cognistx is here– to celebrate the power of the individual and transform the customer experience.

Engaging with the SmartCognitives Engine

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The Cognistx engine is technology-agnostic, so it can be easily integrated into apps, chatbots, clickstream interceptors, call center systems, decision support systems, or other custom applications.

The Treehouse Software / Cognistx Connection

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The Cognistx platform complements Treehouse Software’s tcVISION, the comprehensive product that can acquire data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


Let’s talk…

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If this exciting new technology is of interest to you, we would be happy to have a conversation about your company’s needs, so do not hesitate to contact us if you have questions.  Meanwhile, please visit the Treehouse Software Cognistx Web Page for more information.

 

Two Local Technology Companies Partner to Advance Cognitive Computing; Complementary Areas of Expertise Mean Better Data Integration and Individualization

Treehouse Software, Inc., of Sewickley, PA and Cognistx of Pittsburgh, PA announced a partnership to help customers with improved data integration and individualization to fully leverage the power of cognitive computing.

Technology industry leaders from Accenture to Gartner to McKinsey recognize the future of computing will be cognitive, calling it a disruptive force and estimating the industry to reach $200 billion by 2020. Cognitive computing is based on leading edge technology including artificial intelligence, natural language processing, Big Data, advanced analytics and machine learning algorithms.

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The Treehouse – Cognistx partnership will allow customers to ingest massive amounts of data, whether that data is numbers, images, or audio files, and mine it to find insights that lead to action, and ultimately to increased revenue from improved customer engagement.

Since the mid-1990s, Treehouse Software has been a global leader in mainframe data migration, replication and integration, offering robust and flexible solutions for ETL, CDC and real-time, multidirectional replication between databases on various platforms.

Cognistx is an applied technology company harnessing state-of-the-art cognitive computing tools to help retailers reach individuals with intuitive, intelligent and individualized offers based on their past transactions, preferences, context and profile.

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Cognistx complements Treehouse’s capability to deliver data with its machine learning algorithms that become more accurate with every transaction, delivering customized, personalized, prescriptive actions in the right context. Together, the two companies will co-market their capabilities, bringing new competitive advantages to customers who want to expand the use of their most valuable asset — data.

“We’re excited to partner with Cognistx to bring our world-class enterprise data acquisition capabilities to companies that recognize the massive opportunity cognitive computing represents,” said Wayne Lashley, Treehouse Chief Business Development Officer. “We provide the data foundation and Cognistx translates that data into insights, those insights into customer actions, and those actions into incremental revenue.”

“Few retailers do a good job of marrying technology with a customized customer experience that is tailored to their behaviors and timed according to how they might use a retailer’s offer,” said Sanjay Chopra, CEO of Cognistx. “With our proprietary algorithms and Treehouse’s enterprise data solutions, both our customers win. Only with large amounts of data can our system learn about the consumer and their preferences and how those change in order to deliver only the smartest, most individualized offers.”

About Treehouse Software, Inc.

Privately-held Treehouse Software was founded in 1982, and is a global leader in providing data migration, replication, and integration solutions for the most complex and demanding heterogeneous environments. Treehouse offers a comprehensive and flexible portfolio of software and tools for mainframe platforms, and also includes feature-rich, accelerated-ROI offerings for information delivery, and application modernization. http://www.treehouse.com

About Cognistx

Privately-held Cognistx was founded in 2015 and has a technology hub in Pittsburgh and operations offices in the Innovation Quarter in Winston-Salem, NC, and Raleigh. The company’s co-founders include Sanjay Chopra, a serial technology entrepreneur; Eric Nyberg, professor at Carnegie Mellon University’s School of Computer Science, who consulted with IBM on the Watson project and Jeffrey Battin, former owner of Communefx, a successful data analytics company. Other partners include Florian Metze, professor at Carnegie Mellon University’s School of Computer Science; Jill Zoria, SVP Enterprise Development; Pete Minnelli, SVP Creative; and Karen Barnes, SVP Operations. http://www.cognistx.com