MANTA helps enterprises get full data lineage of their business intelligence systems and achieve three basic goals:

  1. Complete regulatory output and improve data governance
  2. Eliminate manual labor and increase effectivity
  3. Unlock the potential of existing data governance solutions

But they key question always remains – how do these goals translate into actual $$$? We’ve gathered data from our existing customers both in the US and Europe and put it together:

20% – 30% increase in overall efficiency of the BI/DWH team*
*including analysts, architects, developers, testers

For a team of 20 with an average salary of $100,000 per year, MANTA provides a $400,000 – $600,000 value per year (or $20,000 – $30,000 a year per team member).

1. Full compliance with existing toolsets

Data governance has always been about making sure that all your solutions work perfectly together. Many of our customers, especially in banking and finance, are also pressured by regulators to prove they completely understand data flows in their BI. There’s usually many different (and expensive) metadata and other tools involved, and MANTA is able to connect all of them and accelerate compliance projects by up to 45%.

2. More efficient onboarding of new team members

On average, a typical onboarding process takes from 5 to 10 months before a new team member is fully up-to-speed (depending on the complexity of the environment). MANTA reduces this time by 40% by providing newcomers with complete, transparent documentation of code, even the old/legacy code, without any extra manual work needed.

3. Agile and more efficient maintenance of BI/DWH

With the growing importance of data for running a company, business departments are exerting even greater pressure than ever before to obtain insights quickly and get new features implemented as soon as possible. Analyses of the current state and the anticipated impacts of any changes (as-is analyses, impact analyses) are critical and time consuming phases of a development life cycle. Industry practice says that analysis represents 20% to 40% of the effort needed for any change request. MANTA increases the efficiency of doing as-is and impact analyses by 90% by automating them and eliminating all the manual work.

4. Less money spent correcting errors

One of the most frequent causes of errors in programming systems is the combination of missing documentation and the limited ability to foresee the impact of the changes being implemented. Also, when fixing bugs there are typically more senior team members involved which further increases the costs associated with every issue. MANTA cuts the time spent by the whole team on bug fixing by 30%.

5. Always up-to-date documentation

Most teams struggle with the right approach to documentation. They usually either spend no time doing it, which leads to enormous problems and costs associated with long term maintenance, or they spend too much time on it, trying to cover all important aspects – starting with the bigger picture (business requirements, goals, KPIs) and then diving into the details (logical, physical models). But there are more static and more dynamic parts of documentation and trying to keep them up-to-date becomes very expensive and time consuming. MANTA reduces the time needed to create and maintain documentation of code by 80%.

The Next Steps

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