Jan Andrš

MANTA Welcomes Two New Top Executives

October 14, 2019 by

NEW YORK, October 14, 2019 (Newswire.com) – Tech company MANTA is proud to announce two new top-level executives: Ernie Ostic as SVP of Products and Reagan Evans as SVP of Revenue. MANTA provides top US banks and other Fortune 1000 companies with a unified platform to comprehend and leverage the flow of information (lineage) in their IT systems. Both Ernie and Reagan are joining the management team to accelerate MANTA’s expansion in the US and worldwide.

NEW YORK, October 14, 2019 (Newswire.com) – Tech company MANTA is proud to announce two new top-level executives: Ernie Ostic as SVP of Products and Reagan Evans as SVP of Revenue. MANTA provides top US banks and other Fortune 1000 companies with a unified platform to comprehend and leverage the flow of information (lineage) in their IT systems. Both Ernie and Reagan are joining the management team to accelerate MANTA’s expansion in the US and worldwide.

Ernie Ostic is joining as Senior Vice President of Products after more than 14 years with IBM working in various roles in product management and technical sales. Ernie brings 30+ years of data integration and lineage background to MANTA with a simple goal: to provide guidance and infuse experience into MANTA’s rapidly developing platform.

“MANTA is pushing a new vision of how to understand data and its movement through information systems,” says Ernie Ostic, the new SVP of Products. “For me, it’s a great opportunity to put my experience in enterprise data integration to use in support of this growing discipline.”

Reagan Evans is starting at MANTA after more than eight years at another SaaS company, leaving the position of Regional Sales Vice President. His new role at MANTA is Senior Vice President of Revenue, and his primary objective is to enlarge the sales and pre-sales teams and secure MANTA’s position as the lineage market leader in the metadata management space.

“I am thrilled to join MANTA at this key phase of its growth,” adds Reagan Evans, the new SVP of Revenue. “My primary focus is to expand the outbound sales organization and build on the solid base of existing enterprise customers.”

MANTA originally started as a niche data lineage solution built by a few engineers in Prague, Czech Republic, and eventually moved its headquarters to New York. Five years later, after successful investment rounds, MANTA has grown to be the central hub of all data flows, enabling digital transformation and saving significant resources in the process.

About MANTA: A Unified Platform for Lineage

Every organization uses data to stay relevant and competitive as it undergoes a constant digital transformation process. This process creates bigger and more complex systems with millions of data flows, where trust in data is undermined, operational costs skyrocket, and every change has unpredictable consequences.

MANTA is the core of all dataflows in the organization, and with its lineage capabilities, it enables digital transformation. The self-service platform demonstrates the data journey in a way that is clear and easily understandable to those at all levels of the organization. MANTA lineage delivers actionable intelligence to boost governance efforts, accelerate development, shorten time-to-market, speed up the modernization process, ensure data quality, and enforce data security.

Original Source: www.newswire.com

Deep Dive into MANTA 3.26: IT and Business Are Now Closer Than Ever (And More!)

September 30, 2019 by

MANTA has introduced a new update, 3.26, and it’s a game-changer yet again. Business users are getting more insight into IT, EDC users have the full package of lineage, and an experimental Java scanner is now available.

MANTA has introduced a new update, 3.26, and it’s a game-changer yet again. Business users are getting more insight into IT, EDC users have the full package of lineage, and an experimental Java scanner is now available.

Business and IT Collaboration Just Got Easier

The wide adoption of a data lineage platform is crucial for any organization to reach its true potential, but people without a technical background have difficulties understanding technical descriptions of dataflows. After all, your job is to deliver business results, not to swim in the ocean of complexity.

Creepy naming, complex flows with a lot of calculations, and transformations make lineage hard to work with. That is why we at MANTA continuously invest in features that facilitate easier understanding for everyone in the company. One of the key issues, typically, is how to do mappings between physical and conceptual terms so MANTA can use them to simplify lineage diagrams.

Nowadays, people do it manually or wish for AI to do it for them. There is one great source of mappings already available though—every organization has tons of existing architecture diagrams and models that can be used by MANTA to simplify lineage for less technical users.

MANTA already supported Informatica PowerDesigner and ER/Studio, and now we are on board with ErWin as well. That means MANTA now supports three of the most popular modeling tools with over 60-70% market share. Sharing information between IT and business has never been easier.

Deeper ETL Understanding with IBM DataStage Scanner

ETL is another critical component of any data pipeline today. But there are so many flavors of it and so many different technologies one can use. MANTA already supported 3 of 6 market leaders, according to Gartner 2019 Magic Quadrant for Data Integration Tools. And now, we have one more!

(source: Gartner)

Now that the IBM DataStage scanner has been released, coverage of the most popular ETLs is almost complete. You can enjoy DataStage ETL support, parallel jobs, and more.

The Java Way

Have you ever asked yourself what the most frequently used programming language in your company is? The TOP3 languages are Java, SQL, and Javascript. That simply means that the majority of your data pipeline is somehow hidden inside tons of SQL and Java code. With our great support for many many different flavors of SQL, our next big thing is to help our customers with the Java part.

MANTA’s Java scanner is available in experimental mode with support for programs with multiple entry points, using Spring framework with a basic Spring Bean configuration. We worked hard to deliver as quickly as possible because this is going to change the way we all think about metadata and how it can be used not only for governance but for quality, security, and engineering.

Full Lineage in the Package for Informatica EDC

The great news for all our customers is that we push harder with our native user interface. On top of that, our goal is to deliver the same or similar experience via supported third-party tools, if possible. This release brings new features for Informatica Enterprise Data Catalog—users will benefit from improved integration with MANTA.

Lineage, no matter how complex, is first visualized simplified to the column-to-column level without ETL, SQL, or other transformations visible. But with just one click, all tech-savvy EDC users can access all the additional details available thanks to MANTA.

Extended Cognos Support

Another very important area that helps with wider adoption of lineage by less technical users and supports data governance initiatives is a great understanding of the existing reporting layer. In the end, reports are THE place where most business people spend their time when working with data.

Even if more than 70% of companies still use Microsoft Excel, there are other very popular reporting solutions, and one of them is IBM Cognos, which has been supported by MANTA since release 3.25. The great news for every Cognos fan and user is that with this release, MANTA significantly extends the scope of supported Cognos features like data modules, uploaded files as sources of data, data sets, and reports with embedded SQL statements.

A Little Something for the Admins as Well

MANTA is all about automation, and the installation and update process is no exception. We have implemented a lot of changes and improvements over the past year and a half, but it is still not enough for us. We want to make it even easier for our customers to install and use MANTA. With this release, the install and update processes were unified into one single simple workflow. No more unnecessary steps, it’s automated as much as possible.

Ready to take a deeper look at MANTA? Just let us know and we’ll show you how it’s done.

Master Data Management Joins Forces with MANTA to Provide Unique Data Lineage Solution

August 26, 2019 by

New reseller partnership provides complete, accurate technical metadata quickly and cost effectively to reduce data risks, increase agility and trust, and ensure compliance.

New reseller partnership provides complete, accurate technical metadata quickly and cost effectively to reduce data risks, increase agility and trust, and ensure compliance.

Master Data Management (MDM) and MANTA today announced a partnership agreement. The new reseller partnership allows MDM to resell, implement and support MANTA’s software to automatically scan, document and visualise data lineage across many different technologies – including databases, ETL tools, reporting and analytics platforms, and modelling tools.

Data lineage tracks the origins of data, how it moves through the enterprise, and how it changes over time.  This is essential to understand the impact of changes to systems, deliver trusted reporting and to meet compliance objectives.

MANTA improves the accuracy, completeness, effectiveness, and automation of most data governance solutions. MANTA scans databases, ETL scripts and reporting platforms to automatically and quickly gather metadata and extract data processing logic. This technical metadata is then visualised in MANTA Flow, or pushed to a third-party data governance tool such as Collibra.

“The partnership with MANTA extends our value proposition to support the automated harvesting of hard to reach technical metadata” says Gary Allemann, MD at MDM. “We have been impressed by how quickly MANTA can be deployed and start to deliver value. At one mutual client we were able to connect to multiple sources including Microsoft SSIS and Microsoft SSRS within a few days and deliver technical metadata into Collibra.”

This ability to automatically harvest metadata saves the customer hundreds of hours of manual effort, and ensures that technical lineage that they need for compliance stays up to date.

“We are specialising in helping our customers manage their data flows properly and making sure their digital transformation and modernisation projects go smoothly and efficiently,” says Tomas Kratky, CEO of MANTA. “Our partnership allows us to provide Master Data Management’s customers with hard-to-get, yet critical metadata in an automated way. MDM is our first partner in South Africa and we are grateful for the opportunity to serve new customers under our new partner’s wing.”

Going forward MANTA’s technology, will enable MDM’s customers to consolidate technical metadata and deliver trusted reporting; will provide comprehensive insights on the impact of alterations and updating of IT systems; and will help clients to meet their compliance goals.

For a list of all supported sources and details of information provided please visit https://www.masterdata.co.za/index.php/data-governance-solutions/manta-technical-lineage

Transformation Logic in MANTA

August 23, 2019 by

The ultimate skill of any solution that has anything to do with data would be the transformation of raw, unapologetic, written pieces of code into something that non-coders can understand. By non-coders we mean all other, although highly intelligent, not-necessarily-used-to-coding business managers who work with the tables that spit out the data on the other side.

The ultimate skill of any solution that has anything to do with data would be the transformation of raw, unapologetic, written pieces of code into something that non-coders can understand. By non-coders we mean all other, although highly intelligent, not-necessarily-used-to-coding business managers who work with the tables that spit out the data on the other side.

And that is exactly what MANTA has always been determined to do. With all the buzzwords floating around like record level lineage (read here why MANTA does not have it), business level lineage, and all the others, people expect solution providers to give them an understanding of what is going on in their data environment. And we might have just succeeded in doing that.

As the first sentence of the article suggests, data transformation is the main topic here. To transform data into what you see in a report, you need lines and lines of code that use many transformations and algorithms to call upon the data to act and look like something more approachable. What usually happens is that no one needs to know what the transformations behind the data are, as long as the data in the tables are correct.

And data lineage shows you the whole “data journey” (which is the main reason why people need it so much). It displays from end to end exactly how the data flows: from where to where, what it does in the middle, and what table it lands in. For the average business user who does not speak the language of code, this is entirely satisfactory for them to understand and trust their data environment. It gives them insight if you will. It is also sufficient for regulatory institutions as well as for creating basic business reports like risk analyses and planning data migrations.

But sometimes, somewhere, you want to learn more.

Real-Life Case: So How Much Do We Pay Those Sales Guys?

Let’s take calculating commissions for sales guys as an example.

The calculation of these commissions is represented by 20 scripts of code in the data environment. These scripts do all the work behind the calculation – they take into account all the inputs from financial and accounting systems as well as a set of rules from the company’s commission policy. Based on this data, the scripts are able to calculate the individual commission for every sales guy in the company.

But what is the actual formula for calculating the commissions? Is there a way to reverse engineer it from the scripts? By deploying MANTA you can find out!

MANTA can identify the exact calculation of the commission and compare it with the ruleset from the company’s policy. Now we know exactly how much and how we pay those sales guys. :-)

We have a little bit of information attached to each cell (where we are able to track it) that shows the user exactly which transformations were used to achieve that bit of information. It gives you a deeper level of understanding, while still keeping things easily visible and readable in MANTA’s data lineage.

Have any questions about how to get transformation logic in MANTA or how to use it in your projects? Write to us at manta@getmanta.com!

Data Management Radio: Drawing the Line – Why Data Lineage Matters?

August 15, 2019 by

Any podcast enthusiasts out there? Last week’s episode of Data Management Radio had an interesting topic – why data lineage matters. Take a look at what has been on the table and tune in!

Any podcast enthusiasts out there? Last week’s episode of Data Management Radio had an interesting topic – why data lineage matters. Take a look at what has been on the table and tune in!

“Data lineage is like 23andMe of data. Where did you get this data? How did you get this data? What is the provenance of the data? And that’s gonna matter more and more as time goes by,” declares Eric Kavanaugh in the opening statement. He’s absolutely right, but there was more that was discussed on the show:

  • Origins of data lineage and where the industry is going
  • Data lineage for supply chain transparency in retail and healthcare
  • What are the needs of business users, technical users and everybody in between
  • Data lineage in the age of Big Data
  • The black box full of data – and why we need to break it down
  • Data lineage and AI machine learning – the bright future?
  • How automated data lineage influences lives and job satisfaction of data professionals

Eric had three very interesting guests on the air – Geoffrey Raynes from Data Advantage Group, Dan Everett from Informatica and MANTA’s own Jan Ulrych.  Ready to tune in? Listen right here:

Data Management Radio | Drawing the Line: Why Data Lineage Matters (45:47)

If you have more questions about data lineage and why it matters, Jan is available for further discussion. Just shoot us an email at manta@getmanta.com and he’ll get back to you.

 

 

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