Top 5 Data Mining Techniques
Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that you’re trying to solve will determine the type of data mining technique that will yield the best results. In today’s digital world, we are surrounded with big data that is […]
Data Cleansing: How to Get Rid of Bad Data
Bad data costs time and money. The majority of companies know that bad data is an issue, yet have no solid plan in place for eliminating bad data and its effects. In fact, one study concluded that 85 percent of companies know that they are using data that is incorrect or out of date, and as […]
Understanding Data Quality in the Pharmaceutical Industry
Most data scientists do not manufacture drugs, and most pharmacologists are not also data scientists. Still, the pharmaceutical industry depends heavily on data scientists – especially when it comes to ensuring data quality. It’s no secret that pharmaceutical companies rely heavily on Big Data. These businesses use data to do everything from interpreting clinical findings to […]
Building a Framework for Data Quality Management
Data quality management has emerged as an increasingly important factor in determining the success of big data analytics and AI/machine learning initiatives. Even at a purely operational level, the quality of the data you maintain on customers, products, and suppliers is extraordinarily important. Evolving customer expectations around hyper-personalized experiences and consistent interaction across multiple channels […]
Best of 2021: Top 10 Data Quality and Data Governance Blog Posts
Data quality helps you understand your data and ensure it’s accurate, consistent, and complete while a data governance framework allows you to proactively find and manage your data for better business outcomes based on trusted data. As 2021 ends, we would like to share our most viewed Data Quality and Data Governance articles from the Precisely […]
5 Ways to Boost Your CRM
CRM data can be notoriously problematic. Personal and business information is in a constant state of flux. Customers or prospects often move to new locations, get new email addresses or phone numbers, or even change their names. Business customers might merge, rebrand, or go out of business. Briefly stated, CRM data quality decays very rapidly. […]
How Data Quality Builds Data Integrity
Data integrity is defined as data with accuracy, consistency, and context for confident decision-making. Achieving true data integrity calls for technical capabilities such as data integration, data quality management, data enrichment, and location intelligence. Together, these capabilities ensure that data provides a complete and accurate picture of reality–that is, “the truth, the whole truth, and […]
3 Areas Where Data Quality Management Can Supercharge Data Governance
What forces are driving expanded adoption of data governance programs? Data governance has become a primary concern of companies everywhere. And with good reason – businesses must have strong data governance and data quality management in order to mitigate risks as thoroughly as possible. These risks are both inward facing and external. On the compliance […]
How to Build an Effective Data Quality Management Program
You want to make the most of your big data. However, data quality is paramount to achieving that goal. Implementing an effective data quality management program ensures that your data is of the highest caliber, making it not only useful but also profitable. Read on to learn what you need to know about building an […]