Automate Data Quality with Informatica 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

Best Practices in Data Validation

Overview Data Quality is the buzz word in the digital age. What is data quality and why is it so important? “Data quality” is the term that is probably hidden but plays an important role in many streams. Data plays a vital role in acquiring a market place, especially in

Blueprint for a successful Data Quality Program

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 devised for the business based on the outcome of Analytics. The accuracy of the prediction and hence the

Data Warehouse Vs Data Lake

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. International Data Corporation (IDC)report says that, data generated in the year 2020 alone will be a staggering 40 zettabytes which would

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

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 functions out-of-the-box. However, there are requirements when the OOTB cleanse functions are not enough and there is a need for comprehensive functions to achieve

IBM MDM Integration with SFDC

Since its inception, SFDC has evolved as a powerful CRM tool and captured the market leader space. SFDC leverages all kinds of customer interactions to provide deeper insight about a customer and their prospects which is then used for significant initiatives such as strategic planning, marketing campaigns & enhanced customer

Using External Data in MDM Systems

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 discussed will definitely apply to your big data initiatives, but that won’t

What Master Data Management Teaches Social Media Marketing

Everybody, it seems, is getting onto the social media bandwagon. You can’t get far into any discussion about information management or marketing without it coming up, and it’s fascinating to see the emerging best practices and strategies behind social media products and consulting groups. Here are five lessons from over

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

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 programs and many more are at the beginning stages of implementation.  In order to be successful with MDM you need continuous

Centralizing and Mastering Social Media Data

Yes. Social Media is important for business. Thanks to the analysts, advocates, industry experts and the zillion articles & blog posts on the topic. Now the question is where to start and how to go about consuming Social Media Data. What are the steps involved? Are there any best practices,