Datuum.ai

Key to fast and reliable access
to business data

Dealing with data is hard

Challenge #1

What To Do With Legacy Data?

  • Governments and businesses have accumulated vast amounts of data that are locked in legacy systems, and thus inaccessible to centralization, migration and mining.
  • COBOL and mainframe programmers are still wanted by the market.
  • Costs of migrating the data are high. Many times the software vendors or programmers are no longer available.

Challenge #2

How To Apply AI+ML?

  • ML mostly deals with prepared data in a form easily consumable by models and algorithms.
  • In most practical cases the most expensive part of implementing AI into a business is to prepare data, so it can be fed into a model. The same applies to analytics.
  • The costs of preparing and labelling data often are the main reason not to adopt ML in business processes.

Challenge #3

Where Is The Truth?

  • Data in government and businesses are fragmented and ambiguous, stored across multiple systems.
  • Creating a “single source of truth” and data lakes is a trend in organizations. Such projects usually take a minimum of 1 year to complete at a cost of hundreds of thousands of dollars or more.
  • Handling data mergers during M&A operations of an enterprise can be even more expensive, taking years and millions of dollars.

Challenge #4

How To Converge SMB Data?

  • SMBs have accumulated vast amounts of data, often across fragmented legacy systems with poor data design.
  • Every time SMB wants to migrate to a better system they either increase the level of fragmentation or have to drop legacy data forever.
  • For most SMBs the costs are prohibitive.

The Solution

#1

Define domain ontology, building from a curated set of common data layouts and customizing with the the datuum.ai toolset.

#2

Connect to a data source (RDBMS, CSV files or even Excel spreadsheet) and let system automatically scan it.

#3

Let AI find and map the data for you in automatic mode while giving you an opportunity to correct the process.

80%

Reduced costs to map and extract data comparing to fully manual process

Want to know more? ask@datuum.ai