Tags: Data Profiling

Improving Data Profiling and Preparation

Data-driven organizations know that the key to success through data is to make it available to as many people across the organization as possible. But every organization’s data is growing at exponential rates and is getting more complicated. This growth and complexity make current data preparation processes more challenging and often inefficient.
 
To get the right data out to the right people as quickly as possible organizations need to focus improvements on reducing the time required to gather and prepare data.
Read more

How IT Can Conquer the Big Data Firehose

Your organization’s data is a competitive advantage. But how can you take advantage of it, if you don’t know what you have? How can you leverage it to provide data-driven insights to decision makers? There are several roles in the organization who can help, starting with IT.

How the CDO Can Streamline the Data Supply Chain

Read more

Three Reasons That Data-Driven Organizations Need a Semantic Metadata Catalog

About a month ago, I devoted a post to the topic of semantic metadata catalogs.

A semantic metadata catalog is what Attivio produces when it spiders a business’s data sources. A metadata catalog can be searched using natural language search tools.

Read more

Big Data Profiling – Finding and Understanding Information at Scale

You’ve got Big Data? Sure, everyone’s got it. But how many organizations have indexed it all? The volume, variety, and velocity of data in a typical enterprise has by far outpaced the ability to catalog it in an orderly, easy-to-retrieve fashion.

Read more

A Semantic Metadata Catalog

We’ve been talking a lot about data democratization lately—what it means and how to achieve it. In practical terms, a data democracy provides unfettered access to all an organization’s data stores for anyone one that needs it. That means someone or something has to have a firm grasp of where all the data lives and understands what it contains.

Read more

PROFILE ALL YOUR ENTERPRISE INFORMATION

Before organizations can extract business value from their data by using it to support business intelligence (BI) and Big Data initiatives, they need a firm grasp of where all their data resides and what it contains. Many enterprises can only “see” 10 percent of their data. The other ninety percent remains hidden—dark data. So who knows whether their data analysts and data scientists are working with the best data available? But there’s a good chance they’re not.

Read more

Connect

Tweet This

Cognitive Search & Insight Blog