Why Big Data in Healthcare is so required

“Data analytics” refers to the practice of taking masses of aggregated data and analyzing them to draw important insights and information contained in it. This process is increasingly aided by new software and technology that helps examine large volumes of data for hidden information that can help us in many areas and healthcare is one…

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…

Connecting MongoDB using IBM DataStage

Introduction MongoDB is an open-source document- oriented schema-less database system. It does not organize the data using rules of a classical relational data model. Unlike other relational databases where data is stored in columns and rows, MongoDB is built on the architecture of collections and documents. One collection holds different documents and functions. Data is…

How to Match Tweets to Customer Records

Many organizations are analyzing Tweets for various purposes such as sentiment at an aggregate level.  For example, “generally what are people saying about us in the Twitter universe?”  This is a good baby step into Big Data Analytics but where organizations want to get to is “what is my customer John Smith saying about us?”  This customer-level…

Approaching Data as an Enterprise Asset

If you walk into a meeting with all your senior executives and pose the question: “Do you consider and treat your data as an Enterprise Asset?” The response you will get is: “Of course we do.” The problem in most organizations, however, is that while it is recognized that data is a corporate asset, the…

Predictive Analytics in the Retail Industry

Predictive analytics is the utilization of information, factual calculations and machine learning methods to distinguish the probability of future results in light of chronicled information. The objective is to go past recognizing what has happened to give a best appraisal of what will occur later on. Predictive analytics is utilized as a part of numerous…

Big Data Analytics and augmented patient care

Why Big Data in Healthcare is so required? “Data analytics” refers to the practice of taking masses of aggregated data and analyzing them to draw important insights and information contained in it. This process is increasingly aided by new software and technology that helps examine large volumes of data for hidden information that can help…

How to enhance your Business Value using Data Quality (DQ) Tools

This blog post lists out some of the core concepts  of Data Quality assessment, perception changes in data quality, data quality management over the years, use of data quality tools to parse, standardize and cleanse data. What is Quality Information? There has been a change in the conventional focus on data usage with regard to…

MDM Project Management in Emerging Economies (Africa)

Introduction Inter and Intra business communications turn out to be perpetually mind boggling, the need to successfully manage time and assets winds up the key. All things considered, and coupled with huge interest in infrastructure and service, the interest for project management (PM) aptitude in Africa has expanded significantly over a wide assortment of Industries.…

Leveraging Event Manager for Key Data Changes Orchestration

In a connected world, data should travel fast, in fact on a real-time fashion, to serve the purpose – enabling business to thrive. Data that is not available in time impacts business. Events that matter to business, that effects critical data changes, should orchestrate data changed sync up with connected systems that are the backbone…