Data Literacy- finding and understanding data

"Poor data literacy" is the second biggest internal roadblock to success, as ranked by respondents to Gartner's third annual chief data officer (CDO) survey.

...hunting for the right data...
...sending endless emails to data owners and experts...
...when found, praying that the data you have is accurate and trustworthy...
Tired of all that?

No more going back and forth. OvalEdge Data Catalog is the solution.

You can either ask
questions in
natural language

or just explore the
data by clicking

When you have found the data,
understand it deeply with various options like

Statistics

Various data statistics help you understand the data quickly

Relationships

Understand what other related data exists to ensure you have found the right information

Users’ tribal knowledge

Various business units knows a lot about their data. Their knowledge and usage can help others tremendously

Lineage

How the data is getting created, where it is used, what the origin is, etc.

... and many more tools like data comparison, metadata changes,
references help you understand the data

Still not sure about the data? Ask the expert users
who are actually using this data.

Use the data with Confidence and Trust,
because you can track:

Who else is using it and how

Is it beneficial for others

What's the source of the data?

How OvalEdge makes it possible?

Crawls various metadata from all the source systems
Runs various algorithms to build statistics
Runs advance algorithms to build relationships and lineages
Enables users to enhance the automatic knowledge graph by human curation

See OvalEdge in action

Draws Lineage

to show the complete data cycle

Indexes

all your data

Organizes

your data for easy retrieval

Summarizes

data for quick understanding

Marks Relationship

to show you the complete picture

Find your edge now. See how OvalEdge works.

+1-678-325-1699
[email protected]

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Data Literacy

You can either ask questions in natural language

or just explore the data by clicking

When you have found the data, understand it deeply with various options like