Posts Tagged ‘data quality’

Intelligent Data Episode 3: Data Trends in AI

[Podcast] Data Realities for Implementing AI

According to the IDC’s Worldwide Artificial Intelligence Spending Guide, implementing AI has become a necessity for businesses to become more agile, innovate, and scale. And it appears that more companies are coming to terms with this as global spending is expected to reach more than $110 billion by 2024. In season 1 episode 3 of […]

Staying competitive in 2020 with data and analytics.

10 Data and Analytics Trends in 2020

The importance of data and analytics will continue to grow in 2020 and there are ten trends your organization should take note of to stay competitive. In the video below, I’ve outlined these ten trends and what you can do to stay on top of them. 10 Data and Analytics Trends in 2020 [Video] Data […]

Data Quality Improvement is Key to Successful Data Governance

The goal of any data quality program is to improve quality of data at the source. Once a financial institution’s data lineage capabilities are in place, a key starting point for data quality initiatives is the confirmation of critical data attributes for each major business line and functional area. The data quality program should define […]

Driving Better Decisions with Data Governance

The business capabilities presented in our new guide demonstrates how forward-thinking financial services companies are leveraging data governance to create value for the enterprise. Accurate and timely information continues to be a key driver of enabling better decision making. Capabilities such as data principles and strategy, data architecture, organizational roles, authoritative sources, data lineage, data […]

5 Informatica World 2018 Sessions to Improve Your Data Management

Two of the biggest data management challenges organizations face today are lack of awareness and security. Informatica World 2018, coming up in two weeks in Las Vegas, is an outstanding opportunity to learn how to mitigate these challenges, whether you’re currently leveraging Informatica tools or in the process of considering them. We’ll be there – […]

Five Ways to Resolve Data Quality Problems in Tableau

Data sets are not static. They are constantly being updated, which can affect the quality of data. Data quality monitoring helps to resolve data issues quickly and also provides quality data. There are various ways we can resolve data issues in Tableau without changing the original data sources. Renaming We can rename fields in the Data pane […]

Informatica Data Quality – Another Peek!

In my last blog, I presented a brief overview on Informatica Data Quality (IDQ) tools, the significance of Data Profiling and how to use the Analyst tool to profile data. In this second blog, I will introduce a few commonly used Informatica Developer tool Data Transformations. But, Why Data Transformations? Long story short, Data Quality […]

Data Profiling through IBM Quality Stage

Many of the assumptions we have about source data are probably not accurate. Today most organizations are facing a data quality problem. In this blog we will look how we can achieve Data Quality using IBM tools. We have a two step process to achieve Data Quality: 1) Data Profiling 2) Data Quality We can […]

Informatica Data Quality – A Peek Inside – Part 1

Data analytics, Master data management has been a top trending Business Intelligence implementation in last couple of years. One of the key success criteria for these programs is to maintain good quality data. Businesses also demand more value from the data that is maintained in the enterprise data repository. So there is a strong emphasis to […]

Three Words for Data Quality Initiatives

Today every business is taking more and more data from various and untrusted sources system and using it in more ways than ever before. Whether it may be a small organization or an enterprise environment, data quality management is both challenging and significantly important to every business. Despite the importance, Data Quality initiatives sometimes remain […]

Reasons for chronic Data Quality issues…

Many companies have invested millions in building a successful BI / EDW and are investing in advanced analytics for the future. But the mystery remains about the data quality. Though glaring DQ issues might be contained through constant backend data corrections or through exception handling, many organizations still faces the challenge of poor data quality. The reason Data […]

Data Quality – Don’t Fix It If It Ain’t Broke

What is broke?  If I drive a pickup truck around that has a small, unobtrusive crack in the windshield and a few dings in the paint, it will still pull a boat and haul a bunch of lumber from Home Depot. Is the pickup broke if it still meets my needs? So, when is data […]

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