Informatica Power Center Solutions

Promote automation, reuse and agility with the industry's only full integrated end-to-end enterprise data integration platform.

Informatica's modern data integration infrastructure combines advanced hybrid data integration capabilities and centralized governance with flexible self-service business access for analytics. By providing a robust integrated codeless environment, teams can collaboratively connect systems and transform and integrate data at any scale and any speed.

Read full article at http://www.infotrellis.com/informatica-data-integration/

Big Data Analytics & Data Management Services

Mastech InfoTrellis’ diverse expertise in the Big Data space, has helped to assist global enterprises in their Big Data initiatives

Big Data Analytics Hub
Mastech InfoTrellis offers managed Big Data Analytics Hub Solution Centered on Hadoop, which enables customers to consolidate multi-channel data of various formats into a single source. Big Data Analytics Hub enables self service analytics by different business functions.

AllSight — Customer Intelligence Management
AllSight Customer Intelligence Management System which delivers Enterprise Customer 360 by ingesting structured and unstructured data from disparate data sources across the organization.

IBM Big Data Solutions
IBM Big Data Solutions combine open source Hadoop and Spark for the open enterprise to cost effectively analyze and manage big data. With BigInsights, you spend less time creating an enterprise-ready Hadoop infrastructure, and more time gaining valuable insights. IBM provides a complete solution, including Spark, SQL, Text Analytics and more to scale analytics quickly and easily.

Read full story at http://www.infotrellis.com/big-data/

Enterprise Data Integration Services

Enterprise Data Integration Services

Using niche technologies, Mastech InfoTrellis enables customers to extract, transform and load data from disparate source systems to centralized data repositories like Master Data Management Hub, Big Data and Analytics Hub.

• Etl performance tuning
• Metadata management
• Data quality monitoring
• Cross platform integration
• Data modelling
• Data profiling

Our Solutions

• Informatica Intelligent Data Integration
• Informatica Intelligent Cloud Services
• Collibra Data Governance

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

Automate Informatica Data Quality (IDQ)

Data Quality – Overview
Data Quality is the process of understanding the quality of data attributes such as data types, data pattern, existing values, and so on. Data quality is also about capturing the score of an attribute based on some specific constraints. For example, get the count of records for which the attribute value is NULL, or find the count of records for which a date attribute does not fit into the specified Date Pattern.

Managing your Data Quality
This means that we can weigh the quality of data to any extent irrespective of the available data being good or bad. This Data Quality report can be captured with the complete data details, at record level or even at the attribute level. Using this report, business can identify the quality of data and make out how it can be used to help / benefit the customer. A plan can also be worked out to enhance the quality of data by applying business rules and correcting the required information based on the business needs.

This blog post aims at bringing out the significance of data quality, data quality report generation, steps involved in automation of the data quality report using the scheduler feature of Informatica IDQ.

Deriving Quality Data
We have tools in the market to generate these Data Quality reports based on the input data we provide with configuration of some business specifications. An important solution provider in the market for Data Quality report generation is Informatica IDQ which is formulated to generate profiling reports and Data Quality reports.

Read full article at http://www.infotrellis.com/automate-data-quality-informatica-idq/

Informatica MDM Solution - Mastech Infotrellis

A master data management (MDM) system is installed so that the core data of an organization is secure,  is accessible by multiple systems as and when required and does not have multiple copies floating in the system, in order to have a single source of truth. A solid Suspect Duplicate Process is required in order to achieve the 360 degree view of an entity.

The concept of Suspect Duplicate Processing represents the broad category of activities related to identifying entities that are likely duplicates of each other. Suspect duplicate processing is the process of searching for, matching, creating associations between and, when appropriate, merging data for existing duplicate party records in the system.

To achieve this functionality, Informatica MDM has come up with its own Suspect Duplicate Processing (SDP) approach. An organization based on its use case can opt any of the following two approaches:

• Deterministic Matching Approach
• Fuzzy Matching Approach

Deterministic Matching Approach

Deterministic Matching uses a series of rules, like nested if statements, to run a series of logical tests on the data sets. This is how we determine relationships, hierarchies, and households within a dataset. Deterministic matching seeks a clear “Yes” or “No” result on each and every attribute, based on which we define whether:

• Two records are duplicates
• should be resolved by a data steward or
• Two unique entities.

It doesn’t leave any room for error and provides the result in an ideal scenario. But most of the data in organizations is far from an ideal scenario. These are the cases when the Fuzzy Matching Approach of Informatica comes handy.

Read full article at http://www.infotrellis.com/informatica-mdm-fuzzy-matching/

Why is Master Data Management important?

Mastech InfoTrellis offers best of breed Master Data Management Services enabling Customers to harness the power of their Master Data. Mastech InfoTrellis has successfully delivered Master Data Management Projects time and again over the past decade.

Performance tuning
Production support
Health check
Solution architecture
Needs assessment
Program strategy & roadmap
Solution upgrade
Design and development

Our Solutions

IBM InfoSphere Master Data Management
Cloud Customer 360 For Sales Force
Informatica Intelligent Master Data Management
IBM PIM For Manufacturing

Learn more at http://www.infotrellis.com/master-data-management/

Best Practices for Master Data Management

Mastech InfoTrellis offers best of breed Master Data Management Services enabling Customers to harness the power of their Master Data. Mastech InfoTrellis has successfully delivered Master Data Management Projects time and again over the past decade.

For more information https://bit.ly/2TmCvCj