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...
Building a Business Friendly Approach to Data Governance
It is fast becoming an imperative for organisations to fuel business intelligence reporting with data that is accurate, consistent and contextual – data with integrity. Data governance is...
How to Build a Successful Metadata Management Strategy within a Data Governance Framework
Metadata provides crucial information that powers accurate analytics for rich business insights. And an effective metadata management strategy relies on a comprehensive data governance framework....
Data Preparation: What it is, and How to Do it Right
“Data preparation is the process of gathering, combining, cleansing, structuring, and organizing data so it can be analyzed as part of data visualization, analytics, and machine learning...
Precisely Named As A Leader
Precisely is proud to have been named a Leader in the IDC MarketScape: Worldwide Data Catalog Software 2022 Vendor Assessment (August 2022, IDC # US48395622). The IDC MarketScape report provides a...
To Ensure Regulatory Compliance, You Need to Trace Data Lineage
When it comes to data, regulatory compliance isn’t easy. Regulations are nothing new in industries like financial services, healthcare, and insurance. But no singular piece of legislation has had...
The Intersection of Data Analytics and Data Governance
Are you suffering from data exhaustion? The symptoms can vary widely, but it generally stems from the unrelenting influx of data and your organization’s continued struggle to define a full-scale...
How to Access, Consume, Use, and Act on Your Government Data to Drive Value
As organizations have accumulated data about their customers, prospects, and transactions, they are under increasing pressure to bring order to the otherwise chaotic world of enterprise data. Much of...
3 Ways Data Governance Can Drive the Bottom Line
Many data governance programs fall short of expectations and even get derailed because they start off with unclear objectives. We see this happen in many companies. A mitigating precipitating event...