Posts Tagged ‘Data Quality’
Alation Data Quality Initiative: All You Need to Know
Have you heard about the new industry initiative to improve data quality? It’s called the Alation Data Quality Initiative, and it aims to bring together the best features of the industry’s biggest players. The goal is to let customers integrate the best data quality tools from multiple companies in a straightforward and easy-to-use fashion –…
Read MoreThree Key Misconceptions Of Data Quality
Increasingly more corporate boards and executives understand the importance of data for improved business performance. However, the majority of the data in enterprises is of poor quality. According to a report in Harvard Business Review, just 3% of the data in a business enterprise meets quality standards. Joint research by IBM and Carnegie Mellon University…
Read MoreInformatica Data Quality (IDQ): Pros, Cons, and Alternatives
Informatica Data Quality (IDQ): Pros, Cons, and Alternatives Many enterprises worldwide rely on IDQ to monitor and manage the quality of data they use for day-to-day operations. IDQ – one of the oldest data quality management solutions available today – provides a platform for data analysis and data quality validation by writing rules. Although IDQ…
Read More10 Things a Data Quality Tool Can Do for You
Every company relies on data to make key business decisions. If that data is bad, it could lead to bad decisions—and lower profits. Do you know how to ensure high-quality data in your organization? The best way is to employ a data quality tool to identify bad data and either clean or delete it. Using…
Read MoreThe Definitive Guide to the Modern Data Stack
How much value does your organization get from its data? To get the most benefit from your data—and to use data from a variety of sources—you need to implement a modern data stack. With a modern data stack, you’ll be able to gather data from a larger number of sources, provide faster and easier access…
Read MoreData Lake Vs. Data Warehouse: 3 Core Differences
Picture this: You’re a chef preparing a special meal tomorrow. You have all the ingredients you need today, but now you have to decide where (and how) to store them. Do you put everything in neat, organized containers in the fridge (like a data warehouse), or do you keep them all in one big pot…
Read MoreAll You Need to Know About Anomaly Detection
Maintaining data quality is important to any organization. One effective way to improve the quality of your firm’s data is to employ anomaly detection. This technique identifies data outliers that are likely to be irrelevant or inaccurate. Understanding how anomaly detection works can help you improve your company’s overall data quality – and provide more…
Read MoreWhy “Data Trustability” is Essential for Building Trust in Smaller and Mid-sized Banks and Financial Services Firms
Seth Rao The recent collapse of lenders in the US has tested Americans’ faith in regional and community banks that supply credit to a significant portion of the country’s entrepreneurs and businesses. Deposits have flooded into megabanks, leading to a significant decline in smaller banks’ deposits, which could have long-lasting repercussions for the communities served…
Read MoreHow to Build a Data Stack That Works for You
How does your organization manage the volumes of data ingested each day? The most effective way to ingest and manage large amounts of data is with a modern data stack. To build a data stack that meets your business needs, follow the five essential steps to ensuring the highest quality, most useable data possible outlined…
Read MoreThe 1-2-3 Guide to Self-Service Data Ingestion
How much data does your organization ingest each day? If yours is like most companies, the amount of data you have to deal with is rapidly growing – and becoming a significant problem for your organization. According to the PBT Group, the total amount of data created worldwide is expected to grow to 180 zettabytes…
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