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Architecting enterprise intelligence

Transform Enterprise Data into Business Intelligence. Make intelligent business decisions armed with rich insights from your data.

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Blogs

Explore novel concepts in the field of data and analytics

Top Pick
Data Engineering

Keeping the Technology Stack Current

By Prabhu Chennupati | October 27, 2022
What it Means in Today's World? Overview With today's solutions consisting of various specialized vendor products and platforms to run on, keeping the technology stack current has never been as challenging as today. There is an exponential level of...
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Latest posts

Data Modernization – Leveraging a Future-proof MDM to Unlock Decisioning
Data Management

Data Modernization – Leveraging a Future-proof MDM to Unlock Decisioning

By Kelvin Looi | March 23, 2023
Data Modernization has become crucial in today's fast-paced business landscape as organizations...
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The Retail Industry and IT Data Management: A Match Made in Heaven (Or at Least in the Cloud)
Data Management

The Retail Industry and IT Data Management: A Match Made in Heaven (Or at Least in the Cloud)

By John Harrington | February 16, 2023
In the world of retail, data is king. From inventory management to customer engagement, having...
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Data Governance and BCBS 239: How our Service Pods can help
Data Management

Data Governance and BCBS 239: How our Service Pods can help

By John Harrington | January 31, 2023
As the banking world became increasingly digital, and in the glare of the financial crisis of...
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Cloud Migration Done Right – Part 2: Prove and Migrate
Cloud Services

Cloud Migration Done Right – Part 2: Prove and Migrate

By Prabhu Chennupati | December 6, 2022
Before we start Part 2 of 'Cloud Migration Done Right,' we recommend reading Part 1, which covers...
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Cloud Migration Done Right - Part 1: Paving the Path
Cloud Services

Cloud Migration Done Right - Part 1: Paving the Path

By Prabhu Chennupati | December 1, 2022
Even in today's modern scenario, there are applications in enterprises hosted on-prem in...
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Keeping the Technology Stack Current
Data Engineering

Keeping the Technology Stack Current

By Prabhu Chennupati | October 27, 2022
What it Means in Today's World? Overview With today's solutions consisting of various specialized...
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Next-Generation MDM - Architecting Intelligence for the Future
Data Management

Next-Generation MDM - Architecting Intelligence for the Future

By Jeff Pohlmann | May 5, 2022
Master Data Management (MDM) can best be described as an organization's core data repository...
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Why MDM on Cloud is Better than Line-of-Business Operational Data Stores
Data Management

Why MDM on Cloud is Better than Line-of-Business Operational Data Stores

By Einstein Ruiz | April 12, 2022
The benefits of leveraging a Customer Master Data Management (MDM) are known to experts across...
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Strategic and tactical things to consider when building a Minimum Viable Knowledge Graph
Intelligence

Strategic and tactical things to consider when building a Minimum Viable Knowledge Graph

By Upasana Pandey and Maria Singson, PhD | February 28, 2022
In today’s environment, one does not have to be a particularly large organization to generate a ton...
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Resolution for the New Year - Reliable and Useful Data as a Foundation for Breakthrough Innovation
Data Science

Resolution for the New Year - Reliable and Useful Data as a Foundation for Breakthrough Innovation

By Harry Hodge | January 27, 2022
As business leaders make plans for the new year, how many will focus on improving the enterprise...
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MDM Dimensions: When and how to create location-centric master data in Informatica MDM
Data Management

MDM Dimensions: When and how to create location-centric master data in Informatica MDM

By Joanny Yip | January 4, 2022
Informatica MDM involves creating a single master record for each person, place, or thing in a...
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What it means to be an Analytics Advisor in today’s data and computational environment
Data Science

What it means to be an Analytics Advisor in today’s data and computational environment

By Maria Singson | November 19, 2021
Today's businesses must derive insight from decentralized and multi-modal data near real time (NRT)...
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Enterprise-Level Preparation for Master Data Management
Data Management

Enterprise-Level Preparation for Master Data Management

By Harry Hodge | October 13, 2021
Master Data Management (MDM) continues to play a foundational role in the Data Management...
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Cloud Ops Is a Key Enabler of Successful Digital Transformation
Cloud Services

Cloud Ops Is a Key Enabler of Successful Digital Transformation

By Vicki Liu | September 3, 2021
This article was originally published in DATAVERSITY on July 27, 2021 My first job out of graduate...
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Master Data Management on Cloud Journey
Data Management

Master Data Management on Cloud Journey

By Kelvin Looi & Mike Ashwell | August 11, 2021
This article was originally published in DATAVERSITY on July 19, 2021 Most companies are either...
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Consumer Confidence after the COVID Crash – Is pent-up demand really backed with money?
Data Science

Consumer Confidence after the COVID Crash – Is pent-up demand really backed with money?

By Maria Singson | July 23, 2021
The year and a half after the COVID crash has left consumer confidence adrift on a...
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Accelerate your business outcomes with Enterprise Intelligence Hub powered by xDM
Data Management

Accelerate your business outcomes with Enterprise Intelligence Hub powered by xDM

By Tera Chung | July 22, 2021
If we want to win, we need to learn quickly at speed. This applies to business as well. Winning...
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The Power of Customer Journey Mapping
Customer Experience

The Power of Customer Journey Mapping

By Customer Experience Team | July 1, 2021
Organizations across industries understand the importance of Customer Experience and are making...
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Connecting the Dots: Data, Artificial Intelligence, and Cloud (A Message to Shareholders)
Corporate

Connecting the Dots: Data, Artificial Intelligence, and Cloud (A Message to Shareholders)

By Paul Burton | May 27, 2021
Technology spend has been shifting to the business for some time and now more than 60% of...
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Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 3 of 3
Data Science

Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 3 of 3

By Prad Upadrashta | May 27, 2021
Antifragility is a strong criterion that says that if we experience shocks or unexpected variances...
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Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 2 of 3
Data Science

Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 2 of 3

By Prad Upadrashta | May 27, 2021
In the movie “The Core” [spoiler alert!] there is a great example (completely made-up, of course)...
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Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 1 of 3
Data Science

Antifragility, Machine Learning, and Graph-Structured Data (Ontologies) – Part 1 of 3

By Prad Upadrashta | May 26, 2021
A client recently asked if our entity matching algorithms are “antifragile”. This got me thinking....
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Modernize Customer Experience with Oracle
Customer Experience

Modernize Customer Experience with Oracle

By John Kariotis | May 7, 2021
Leveraging Oracle Sales & Service Cloud, Field Service, Commerce, CPQ, CDM, and OIC An...
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Can Knowledge Graph Extend Battery Life in Electric Vehicles? You bet.
Data Science

Can Knowledge Graph Extend Battery Life in Electric Vehicles? You bet.

By Maria Singson | March 31, 2021
The ultimate innovation in electric vehicles is extending battery life without sacrificing the...
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Digital Twins with Enterprise Intelligence Hub
featured

Digital Twins with Enterprise Intelligence Hub

By Kelvin Looi | March 15, 2021
Have you ever seen science fiction action films like Minority Report, Avatar, or one of those Jason...
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AI Accelerators for a Better Electric Vehicle Usage Experience
Data Science

AI Accelerators for a Better Electric Vehicle Usage Experience

By Maria Singson | March 5, 2021
Let’s not get stranded! In today’s rapidly expanding Electric Vehicle (EV) market, an EV charging...
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Smart Ingestion: Using ontology-driven AI
Data Science, Intelligence

Smart Ingestion: Using ontology-driven AI

By Prad Upadrashta | October 12, 2020
Our clients frequently complain that their understanding of their business is hampered by the fact...
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Knowledge Graphs for Fraud Detection - Use Case
Data Science, Intelligence

Knowledge Graphs for Fraud Detection - Use Case

By Deepti Soni | September 4, 2020
Financial fraud is expensive, not just in terms of the money involved, but also for poor...
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There's more to Data Quality than meets the eye
Data Management

There's more to Data Quality than meets the eye

By Nicoletta Camodeca | August 25, 2020
Data is generally considered high quality if it is "fit for its intended uses in operations,...
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Enterprise Intelligence Hub: A new impetus in your Data Strategy 
Intelligence

Enterprise Intelligence Hub: A new impetus in your Data Strategy 

By Kelvin Looi | July 2, 2020
The Covid-19 pandemic has taught us all valuable lessons on a personal, societal, and global...
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Enterprise Data Bus – What? How? And Why?
Data Engineering

Enterprise Data Bus – What? How? And Why?

By Jim Strickland | June 5, 2020
What is an Enterprise Data Bus (EDB)? An EDB is a collection of data management and analysis...
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Telling Stories in Data Science
Data Science, Intelligence

Telling Stories in Data Science

By Prad Upadrashta | May 20, 2020
Communication is a key skill in any field. Without communication, we would be hard-pressed to drive...
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The Cowboy Problem: How not to get shot - Part 2
Data Science

The Cowboy Problem: How not to get shot - Part 2

By Prad Upadrashta | April 30, 2020
“I cannot live without brain-work. What else is there to live for?” – Sherlock Holmes I saw this...
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The Cowboy Problem: How not to get shot - Part 1
Data Science

The Cowboy Problem: How not to get shot - Part 1

By Prad Upadrashta | April 30, 2020
“My name is Sherlock Holmes. It is my business to know what other people don’t know.” – Sherlock...
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ROI for MDM
Data Management

ROI for MDM

By Kelvin Looi | April 15, 2020
In many meetings, I’ve been asked by customers, “How do you demonstrate an ROI for an MDM solution...
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The Data-Driven Ecosystem and Domain Ontologies
Data Engineering

The Data-Driven Ecosystem and Domain Ontologies

By Jim Strickland | April 3, 2020
As your enterprise moves toward being data driven, the ability to derive a domain ontology from...
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(How) Can Business Problem be Solved Using Data Science?
Data Science

(How) Can Business Problem be Solved Using Data Science?

By Prad Upadrashta | April 1, 2020
The goal of data science is to translate ALL business problems into scientific problems which can...
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Why do Big Data projects fail?
Data Engineering

Why do Big Data projects fail?

By Jim Strickland | March 4, 2020
When you read the marketing spin on Big Data and the tools available today, you may deduce that...
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The Value of Ontologies: A Visceral Understanding
Intelligence

The Value of Ontologies: A Visceral Understanding

By Prad Upadrashta | January 13, 2020
I often struggle to explain the value of ontologies to my clients. The word ‘ontology’ itself...
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The Most Valuable Skills to Learn as a Data Scientist Today
Data Science

The Most Valuable Skills to Learn as a Data Scientist Today

By Prad Upadrashta | November 14, 2019
There are a certain set of timeless skills that one should aim to develop over the course of their...
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The Magic of Data Science (Part 2)
Data Science

The Magic of Data Science (Part 2)

By Prad Upadrashta | September 12, 2019
A two-blog series on what data science can do, with real world examples.
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The Magic of Data Science
Data Science

The Magic of Data Science

By Prad Upadrashta | August 20, 2019
A two-blog series on what data science can do, with real world examples.
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Predictive Analytics in the Retail Industry
Data Science, Intelligence

Predictive Analytics in the Retail Industry

By Garima Jain | July 26, 2019
Introduction  
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Using External Data in MDM Systems
Data Management

Using External Data in MDM Systems

By Abhishek Kamboj | July 25, 2019
Let me start by saying that this is not an article about big data.  While the source of big data is...
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MDM Project Management in Emerging Economies (Africa)
Data Management

MDM Project Management in Emerging Economies (Africa)

By Abhishek Kamboj | July 25, 2019
Introduction Inter and Intra business communications turn out to be perpetually mind boggling, the...
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Big Data Analytics and augmented patient care
Data Science, Intelligence

Big Data Analytics and augmented patient care

By Aradhana Pandey | July 25, 2019
Why Big Data in Healthcare is so required?
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MDM Upgrade...
Data Management

MDM Upgrade...

By Abhishek Kamboj | July 25, 2019
Why upgrade?Clients ask me all the time, why? Why do we need to upgrade? We are happy with the way...
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IICS and Data Solutions on the DX Platform
Cloud Services

IICS and Data Solutions on the DX Platform

By Asha Shyam Sundar | July 25, 2019
Overview The move to the cloud is fully in force, and therefore the variety of organizations’...
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Thrive on IBM MDM CE
Data Management

Thrive on IBM MDM CE

By Shruthi S | July 25, 2019
IBM InfoSphere Master Data Management Collaborative Edition provides a highly scalable, enterprise...
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Governed Data Lake for Customer Critical Data Analytics
Data Management, Data Science

Governed Data Lake for Customer Critical Data Analytics

By Vaishakh.R | July 25, 2019
Overview Retail chains that have brick and mortar stores as well as online platforms often...
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GDPR and MDM – Part 1
Data Management

GDPR and MDM – Part 1

By Shylaja Rajendran | July 25, 2019
This blog post section gives an overview of GDPR, requirements, impact on business, common...
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Data Warehouse Vs Data Lake
Data Management

Data Warehouse Vs Data Lake

By Vaishakh.R | July 25, 2019
Data Generation, Analysis, and Usage - Current Scenario Last decade has seen an exponential...
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Integrating Data with MDM
Data Management

Integrating Data with MDM

By Abhishek Kamboj | July 25, 2019
The objective of most MDM Hub projects is to establish a trusted source of master data. In addition...
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Marrying DAM with PIM
Data Management

Marrying DAM with PIM

By Deepan A | July 25, 2019
Overview
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Big Data in CPG : Enabling personalized Customer Experience for a big future
Customer Experience

Big Data in CPG : Enabling personalized Customer Experience for a big future

By Abhishek Kamboj | July 25, 2019
This article was featured in the Q3 2014 edition of Loyalty 360's Loyalty Management magazine.
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Data Warehouse Migration to Amazon Redshift – Part 2
Data Management

Data Warehouse Migration to Amazon Redshift – Part 2

By Prabhu Chennupati | July 25, 2019
This blog post is the second part of the Data Warehouse Migration to AR series. The first part of...
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Data Warehouse Migration to Amazon Redshift – Part 1
Data Management

Data Warehouse Migration to Amazon Redshift – Part 1

By Prabhu Chennupati | July 25, 2019
Introduction Traditional data warehouses require significant time and resource to administer,...
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Managing MDM Projects – Preparation
Data Management

Managing MDM Projects – Preparation

By Abhishek Kamboj | July 25, 2019
Every project comes with its own set of challenges and MDM  are no different. At InfoTrellis, we...
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Tableau - Your Visual Interface to Data
Data Engineering, Intelligence

Tableau - Your Visual Interface to Data

By Varun Sodhi | July 25, 2019
In the current aggressive business condition, utilizing the data resources of an association is...
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Product Information Management and Global Data Synchronization
Data Management

Product Information Management and Global Data Synchronization

By Visalakshi M | July 25, 2019
The digital era has fostered information transfer between two systems but the communication flaws...
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Interfacing Virtual MDM through DataStage
Data Management

Interfacing Virtual MDM through DataStage

By Kanimozhi | July 25, 2019
Introduction MDM Connector stage is a key to open the door of IBM Virtual MDM. Yes, we can...
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Big Data Challenges and Solutions
Data Management

Big Data Challenges and Solutions

By Vaishakh.R | July 25, 2019
Introduction Big Data has empowered organizations to inspect substantial volumes of structured and...
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Virtual and Physical MDM in the same box, best of both worlds!
Data Management

Virtual and Physical MDM in the same box, best of both worlds!

By Abhishek Kamboj | July 25, 2019
With the introduction of IBM Master Data Management v11, IBM has created a new implementation style...
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Blueprint for a successful Data Quality Program
Data Engineering

Blueprint for a successful Data Quality Program

By M.S Udankar | July 25, 2019
Data Quality - Overview Corporates have started to realize that Data accumulated over the years is...
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Best Practices in Data Validation
Data Management

Best Practices in Data Validation

By Narayan | July 25, 2019
Overview Data Quality is the buzz word in the digital age.
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Approaching Data as an Enterprise Asset
Data Management, Data Engineering

Approaching Data as an Enterprise Asset

By Abhishek Kamboj | July 25, 2019
If you walk into a meeting with all your senior executives and pose the question:
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IBM MDM Batch Processor - Tips for better throughput
Data Management

IBM MDM Batch Processor - Tips for better throughput

By Abhishek Kamboj | July 25, 2019
MDM Batch Processor is a multi-threaded J2SE client application used in most of the MDM...
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Big Data and the Internet of Things (IoT)
Data Management, Data Engineering

Big Data and the Internet of Things (IoT)

By Suhasini | July 25, 2019
The Internet has come a long way from a shaky dial up to the interconnected revolutionary world we...
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How to enhance your Business Value using Data Quality (DQ) Tools
Data Management

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

By Karthik Mariappan | July 25, 2019
This blog post lists out some of the core concepts  of Data Quality assessment, perception changes...
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Answering Key Questions about IBM’s MDM Version 11 Upgrade
Data Management

Answering Key Questions about IBM’s MDM Version 11 Upgrade

By Abhishek Kamboj | July 25, 2019
What big changes does this upgrade bring? IBM brought together Initiate Master Data Service (MDS),...
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NEW FEATURES IN MDM CE 11.0 THROUGH 11.6
Data Management

NEW FEATURES IN MDM CE 11.0 THROUGH 11.6

By Shruthi S | July 25, 2019
IBM InfoSphere MDM Collaborative Edition, IBM’s offering in Product Information Management space,...
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Things to Remember When Implementing InfoSphere MDM Server Validations
Data Management

Things to Remember When Implementing InfoSphere MDM Server Validations

By Abhishek Kamboj | July 25, 2019
Validation is an important aspect of any application or system. Validations could arise as part of...
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EDW Readiness Checklist for adding new Data Sources
Data Management, Data Engineering

EDW Readiness Checklist for adding new Data Sources

By Anand.K | July 25, 2019
Overview It is common practice to make changes to the underlying systems either to correct...
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Managing MDM Projects II - Development, Testing and Deployment
Data Management

Managing MDM Projects II - Development, Testing and Deployment

By Abhishek Kamboj | July 25, 2019
Calvin: "You can't just turn on creativity like a faucet. You have to be in the right mood."Hobbes:...
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Connecting MongoDB using IBM DataStage
Data Engineering

Connecting MongoDB using IBM DataStage

By Muthulakshmi P | July 25, 2019
Introduction MongoDB is an open-source document- oriented schema-less database system. It does not...
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Top Reasons an MDM Implementation Fails
Data Management

Top Reasons an MDM Implementation Fails

By Abhishek Kamboj | July 25, 2019
I often become involved in an organization’s MDM program when they’ve reached out to InfoTrellis...
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Examining The Corporate MDM Dashboard: What, Why, How and When
Data Management

Examining The Corporate MDM Dashboard: What, Why, How and When

By Abhishek Kamboj | July 25, 2019
Master Data Management (MDM) is no longer a “fast follower” initiative but is now a generally...
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MDM for Regulatory Compliance in the Banking Industry
Data Management

MDM for Regulatory Compliance in the Banking Industry

By Greg Pierce | July 25, 2019
Banking Regulations - Overview
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Data Warehouse Migration to Amazon Redshift – Part 3
Data Management

Data Warehouse Migration to Amazon Redshift – Part 3

By Prabhu Chennupati | July 25, 2019
This blog post is the final part of the Data Warehouse Migration to AR series. The second part of...
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Preparing for an MDM Implementation
Data Management

Preparing for an MDM Implementation

By Abhishek Kamboj | July 25, 2019
There are many tasks you can perform to make your MDM implementation go smoother.  Many people...
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Deterministic Matching versus Probabilistic Matching
Data Management

Deterministic Matching versus Probabilistic Matching

By Abhishek Kamboj | July 25, 2019
Deterministic Matching versus Probabilistic Matching Which is better, Deterministic Matching or...
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Automate Data Quality with Informatica IDQ
Intelligence

Automate Data Quality with Informatica IDQ

By Karthik Mariappan | July 25, 2019
Data Quality - Overview Data Quality is the process of understanding the quality of data attributes...
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Useful Design Practices for Application Development in IIB
Data Management

Useful Design Practices for Application Development in IIB

By Kirthana K | July 25, 2019
One of the key challenges faced by a growing organization looking to leverage their existing...
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Connecting Informatica PowerCenter to Teradata
Data Engineering

Connecting Informatica PowerCenter to Teradata

By Junia Josephine | July 25, 2019
Teradata - Overview PowerCenter works with many databases, among which Teradata is one of a kind....
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Informatica MDM – Fuzzy Matching
Data Management

Informatica MDM – Fuzzy Matching

By Ripudaman Singh Dhaliwal | July 25, 2019
This blog touches upon the basics of Informatica MDM Fuzzy Matching.
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Informatica MDM MDE Batch Process in a nutshell
Data Management

Informatica MDM MDE Batch Process in a nutshell

By Satish Kumar | July 25, 2019
Overview Data is siloed across wide variety of platforms in an enterprise environment and the data...
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Can Big Data replace an EDW?
Data Management

Can Big Data replace an EDW?

By Anand.K | July 23, 2019
Overview Data Warehousing has been the buzzword for the past two or three decades and big data is...
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How to integrate Informatica Data Quality (IDQ) with Informatica MDM
Data Management

How to integrate Informatica Data Quality (IDQ) with Informatica MDM

By Meenatchi D | July 23, 2019
Overview Data cleansing and standardization is an important aspect of any Master Data Management...
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How to access Informatica PowerCenter as a Web Service
Data Management

How to access Informatica PowerCenter as a Web Service

By Ragavi Rajakumar | July 23, 2019
Web Services Overview: Web Services are services available over the web that enables communication...
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How to use Informatica Power Center as a RESTful Web Service Client?
Data Management

How to use Informatica Power Center as a RESTful Web Service Client?

By Satish Kumar | July 23, 2019
Introduction In today’s world DATA is ubiquitous and critical to the business which eventually...
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The Brutal Truth about Data Science and Data Scientists (Part 2)
Data Science

The Brutal Truth about Data Science and Data Scientists (Part 2)

By Prad Upadrashta | July 12, 2019
A two-series blog by Prad Upadrashta, Ph.D., Chief Data Scientist, Mastech InfoTrellis
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The Brutal Truth about Data Science and Data Scientists
Data Science

The Brutal Truth about Data Science and Data Scientists

By Prad Upadrashta | June 26, 2019
A two-series blog by Prad Upadrashta, Ph.D., Chief Data Scientist, Mastech InfoTrellis Most data...
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Data Management and IBM IIS Tools
Data Management

Data Management and IBM IIS Tools

By Manas Mishra | February 1, 2018
IIS Tool Suite Overview As per a study conducted by a leading market research and advisory company...
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