Posts Tagged ‘data quality’

Does this sound familiar: you’re running multiple point-of-care systems, each with redundant data points collected. But what happens when there are small variations in how data is captured and processed across these systems? As a healthcare provider client of ours discovered, inconsistent data can reduce revenue realization. It caused claims to be improperly matched and […]

New Year, New You… continued! Last week, I asked you to take a moment and think about your Marketo instance. When was the last time you focused purely on data hygiene for marketing automation? It’s a fresh new year, and now is the perfect time to refresh your data! As such, I posted a list […]

New Year, New You! It’s 2022! Take a moment and think about your Marketo instance. When was the last time you focused purely on data hygiene for marketing automation? If you’re like most Marketo Admins, it’s tough to find the time – but you know how important it is. Never fear, I’m not judging you! […]

In a recent Technology Tapas article, I mentioned identifying your data assets to understand how you might use data, what it can tell you about your business, and where there might be gaps in information. You may find your organization has lots of ideas, but you’re unsure where to start.  That’s okay!  The best way […]

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 […]

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 […]

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 […]

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 […]

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 – […]

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 […]

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 […]

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 […]