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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) in order to hyper-personalize customer interactions. There's a lot to unpack in this sentence: Businesses must be able to intercept the right...

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Data Management

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

By Joanny Yip | January 4, 2022
Informatica Master Data Management (MDM) involves creating a single master record for each person, place, or thing in a business from internal and external data sources and applications. This...
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) in order to hyper-personalize customer interactions. There's a lot to unpack in this sentence: ...
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 Architecture of every 21st century enterprise. In a forward-looking organization, MDM is significant in...
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 school was to develop an e-commerce application for a manufacturing behemoth. The idea was to...
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 considering cloud, if not on a cloud adoption journey already. If you are responsible for Master...
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 never-before-seen kind of bubble. This one is different from what the Baby Boomers rode in the late 90s leading...
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 enterprises have a data ecosystem that exposes all data, makes it trusted, applies machine learning,...
Customer Experience

The Power of Customer Journey Mapping

Organizations across industries understand the importance of Customer Experience and are making large investments, and rightly so, to offer an enhanced experience to their customers. Companies...
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 businesses allow non-IT functions to lead technology decisions (KPMG & Harvey Nash, 2019). Further, most...
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 in the inputs, the model performance (by whatever measure of performance you choose to use) will...
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) of a theoretical element called (with tongue in cheek) Unobtanium. It has the unique property that...
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. It is a really interesting question. Bear with me as I take you on a mind trip to explore this...
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 industry-leading automation solutions provider to many of the world's most successful companies used their...
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 driving experience. In a highly competitive market, now more than ever, convincing consumers to...
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 Bourne’s series? There are scenes of tracking and tracing people through a computer that knows...
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 company wanted to capture a more significant market share. With recent studies predicting a 10%...
Data Management

Master Data Management (MDM) – The Second Wave

By Kelvin Looi | December 4, 2020
The first wave of Master Data Management (MDM) started in the early 2000s. Early adopters from a few industries which included Banking, Insurance, CPG, and Retail started implementing MDM for...
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 that much of their vital data resides as ‘dark data’ in silos that don’t reside on traditional IT...
Data Science, Intelligence

Knowledge Graphs for Fraud Detection - Use Case

By Deepti Soni | September 4, 2020
Financial frauds are expensive, not just in terms of the money involved, but also for poor customer experience and loss of customer trust. There are many types of financial frauds, such as...
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, decision making, and planning" [1]. In the last 50 years, the shift from an industrial economy to...
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 level. Over these past few months, I've done some self-reflecting of my own, but I also wanted to...
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 tools that are installed and orchestrated so that the corpus of enterprise data is made available...
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 change in an organization. We need to communicate ideas well to ensure that the people that help...
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 challenge (minus the solution) being passed around in a WhatsApp message, and after solving it, it...
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 Holmes Many people think that Data Science looks like this:
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 to manage customer data.”   They all get the merits of what MDM can do - a single source of truth...
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 your company’s data will become ever more important. In order to move to this deep analytical...
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 be managed and/or improved in a systematic data-driven way. It is the job of a data scientist to do...
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 there is much upside and not much downside to implementing a Big Data project. Nevertheless, you...
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 sounds complicated, academic, pompous, bombastic, and irrelevant. For that matter, the word bombastic...
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 career in the field of data science:
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.
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.
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 external to your organization, it is a topic of its own.  Many of the concepts and approaches...
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 need to successfully manage time and assets winds up the key. All things considered, and coupled...
Data Science, Intelligence

Big Data Analytics and augmented patient care

By Aradhana Pandey | July 25, 2019
Why Big Data in Healthcare is so required?
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 the software is working? if it ain't broke, don't fix it!
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’ integrated knowledge in hybrid environments has multiplied two-fold. Nearly three-quarters of...
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 Product Information Management (PIM) solution that creates a golden copy of products and becomes...
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 struggle in identifying the customers visiting their site. Even with all the information available at their...
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 challenges faced by organizations and next steps recommended for GDPR compliance.
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 increase in the data being generated from across traditional as well as non-traditional data sources....
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 to the right vendor, appropriate partner, and an efficient implementation plan, it is very...
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.
Data Management

Data Warehouse Migration to Amazon Redshift – Part 2

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

Data Warehouse Migration to Amazon Redshift – Part 1

By Prabhu | July 25, 2019
Introduction Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining,...
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 have built an effective methodology for Project Management, tprojectshrough years of experience in...
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 vital to building effective worldwide business endeavors of the future. Multiple organizations burn...
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 have led to information loss. For example; Product Information shared between manufacturers and...
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 manipulate the data in MDM (MDM refers to IBM Virtual MDM in this post) using the MDM Connector stage which...
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 unstructured data. Big Data augments decision making, by delivering data and conclusions from the...
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 combining the strengths of both MDM Physical and Virtual editions. While MDM Physical is more...
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 proving to be an invaluable asset for the business. The data is analyzed and strategies are...
Data Management

Best Practices in Data Validation

By Narayan | July 25, 2019
Overview Data Quality is the buzz word in the digital age.
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:
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 implementations to load large volumes of enterprise data into MDM during initial and delta loads. Oftentimes,...
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 are in. This new wave of interconnectedness is called the IoT (Internet of Things) or sometimes...
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 in data quality, data quality management over the years, use of data quality tools to parse,...
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), InfoSphere MDM Server (MDM) and InfoSphere MDM Server for PIM into a single market offering as...
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, enables companies to master golden copy of product information that can be consumed throughout the...
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 functional requirements (e.g., business rules) or non-functional requirements (e.g., maintain data...
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 problems or to provide support for new features that are needed by the business.  Changes can be in the...
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: "What mood is that?"Calvin: "Last-minute panic."
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 organize the data using rules of a classical relational data model. Unlike other relational...
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 for help with cleaning up after a failed project or initiating attempt number X at achieving what, to...
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 accepted part of any information management program.  Many enterprises have well established MDM...
Data Management

Data Warehouse Migration to Amazon Redshift – Part 3

By Prabhu | July 25, 2019
This blog post is the final part of the Data Warehouse Migration to AR series. The second part of the blog post series Data Warehouse Migration to Amazon Redshift – Part 2 details on how to get...
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 think being prepared is about the technical things but there are a lot of organizational challenges,...
Data Management

Deterministic Matching versus Probabilistic Matching

By Abhishek Kamboj | July 25, 2019
Deterministic Matching versus Probabilistic Matching Which is better, Deterministic Matching or Probabilistic Matching? I am not promising to give you an answer.  But through this article, I would...

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 such as data types, data pattern, existing values, and so on. Data quality is also about capturing...
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 systems is to implement a common interface that provides a means of communication for the systems. This...
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. Informatica PowerCenter integrates Teradata database into any business system and it serves as...
Data Management

Informatica MDM – Fuzzy Matching

By Ripudaman Singh Dhaliwal | July 25, 2019
This blog touches upon the basics of Informatica MDM Fuzzy Matching.

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 needs to be processed, cleansed, and mastered to ensure it is same across source systems for...
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 the new trend in technology. A question that often arises in our mind is, “Are they similar and will...
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 (MDM) project. Informatica MDM Multi-Domain Edition (MDE) provides reasonable number of cleanse...
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 and provide a standard protocol for communication. To enable the communication, we need a medium...
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 increases the need for integration across different platforms like Cloud, Web Service etc.  When it...
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
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 scientists and the organizations that employ them don’t seem to understand how data science is...
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 the data that we have generated in the past two years is many times more than that we generated in...

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