Informatica Data Quality Factory

One of the key factors to succeed in Data Analytics and Business Intelligence programs is to maintain good quality data. Accurate decisions is directly dependent on the quality of data that is presented to the reporting and analytic tools, and therefore data quality is very essential for operational and transactional processes. 

http://www.infotrellis.com/informatica-data-quality/

Informatica Intelligent Data Integration

Delivering reliable data at speed and scale is critical for advanced analytics and optimized operations, and so is the urge for modern days’ organizations to achieve this state. Availability of timely and consistent data at a centralized hub, aids enterprise success. However, organizations face a handful of challenges with data aggregation like the below.

• Heterogeneous data across
• Failure in analyzing vast data sets
• Legacy data with poor quality
• Ineffective communication amidst business units
• Lack of realistic expectations
• Meagre adherence to data regulations
• Unanticipated costs
• Lack of data management expertise

Learn more at http://www.infotrellis.com/informatica-data-integration-hub/

Reference Data Management Implementation: Four Key Considerations You May Be Overlooking

In recent years reference data management (RDM) has slowly crept into the forefront of business decision-makers’ consciousnesses, making its way steadily upwards in priority within corporate goals and initiatives. Organizations are suddenly seeing the benefits of investing in RDM, attention grabbed by potential paybacks like smoother interoperability among various functions of the organization and centralized ownership and accountability in creating trustworthy data.

Before we dive into talking about approaches for implementation, I want to look at the potential significance of RDM in an enterprise. When the market is inclined towards concepts like Data Integration, MDM and Business Intelligence tend to hog the spotlight. For these particular corporate initiatives, the primary focus of data is key business information like customers, products or suppliers. It is equally important, however, to appreciate the fact that reference data plays a major role in organizing and comprehending all these key pieces of business data.

http://www.infotrellis.com/reference-data-management-implementation-four-key-considerations-you-may-be-overlooking/

Modernize data integration with Informatica Data Integration Hub

Delivering reliable data at speed and scale is critical for advanced analytics and optimized operations, and so is the urge for modern days’ organizations to achieve this state. Availability of timely and consistent data at a centralized hub, aids enterprise success. However, organizations face a handful of challenges with data aggregation like the below

• Heterogeneous data across
• Failure in analyzing vast data sets
• Legacy data with poor quality
• Ineffective communication amidst business units
• Lack of realistic expectations
• Meagre adherence to data regulations
• Unanticipated costs
• Lack of data management expertise

http://www.infotrellis.com/informatica-data-integration-hub/

Data Management and IBM IIS Tools

IIS Tool Suite Overview

As per a study conducted by a leading market research and advisory company the data that we have generated in the past two years is many times more than that we generated in over two decades. It has not just multiplied, but have also become complex, varied and is being generated at much more rate than it ever was. These factors present a data integration challenge to the industries and businesses to be able to better utilize their data for help building strategies, provide services, introduce policy regulations such that their business is empowered to bridge or completely meet the gap for that matter between data and analytics.

IBM has always been innovative, technology-driven and in fact, they pioneer in data integration and management technologies. They have always provided the business with the right set of tools and IBM MDM (Master Data Management) is the best example of that. Besides MDM, IBM also has IIS (InfoSphere Information Server) in its quiver to target data integration and management challenges that almost every line of business in this age encounters.

This blog aims to provide an outlook on the IBM IIS suite and how it can empower your business data integration demands for better resource utilization and finding the right set of tools to address key business challenges.

http://www.infotrellis.com/data-management-ibm-iis-tools/

Modernize data integration

Delivering reliable data at speed and scale is critical for advanced analytics and optimized operations, and so is the urge for modern days’ organizations to achieve this state. Availability of timely and consistent data at a centralized hub, aids enterprise success. However, organizations face a handful of challenges with data aggregation like the below

• Heterogeneous data across
• Failure in analyzing vast data sets
• Legacy data with poor quality
• Ineffective communication amidst business units
• Lack of realistic expectations
• Meagre adherence to data regulations
• Unanticipated costs
• Lack of data management expertise

http://www.infotrellis.com/informatica-data-integration-hub/