Use Cases & Case Studies

MANTA 4 Entertainment

This year, we signed on a new customer from a quite different industry than we would have expected. The way the customer uses MANTA made us explore the possibilities for mapping data lineage in data warehouses packed with data from the entertainment industry. Click here to read more!

This year, we signed on a new customer from a quite different industry than we would have expected. The way the customer uses MANTA made us explore the possibilities for mapping data lineage in data warehouses packed with data from the entertainment industry. Click here to read more!

MANTA’s first customer from the entertainment industry was a satellite television provider. Our recent customer is one of the largest and most profitable casino chains in North America. What do the two of them have in common when it comes to their data environments?

First Aid Post M&A

The original reason why our first entertainment-industry customer needed MANTA a few years back was to deal with significant data growth after a long series of mergers and acquisitions. Each of the companies had their own DWH with unique and valuable data. Therefore, as part of their growth and migration plans, it was necessary to consolidate. As the entertainment industry is one that is ever-moving and the buy-and-sell forces jump from one company to another, this is a very common use for MANTA in this industry.

Real. Time. Data.

With the evolving quality of media, the volume of data being transferred in this industry is also growing exponentially. And when it comes to table data in a casino, which is actually financial data on steroids, the needs to organize and automatically read and process this data are enormous, especially when companies tend to throw all of their data on a pile and call it a “data lake”. More and more customers then reach out to MANTA to help them deal with the mess in their big data solutions. Luckily, not only can MANTA do that, but we also expand our fleet of big data connectors with every new release. Visit our Tech Hub to see if yours is among them!

Safe and Sound

Another thing both of these entertainment divisions have in common is the vulnerable nature of their data. Whether we are talking about highly sensitive customer data from a telecommunications company (which not only includes credit card numbers, but also home addresses and even the viewers typical viewing times!) or sensitive financial data from casinos, it is necessary to comply with regulations related to sensitive data and to protect it (especially data on EU customers for GDPR compliance reasons). What MANTA can do is help find all the spots where such data is being stored and help change all of them at once. This can save months of manual labor since such reports are created automatically in a matter of hours. With many companies today investing in agile and lean process workflows, this can be an essential process optimization.

Peek into the Future

As you can see from this article, the current state of entertainment industry data is a crossover between sensitive personal data and financial data. With more and more subscription-based media entertainment services, the amount of data these companies have to store is skyrocketing quarterly. We can be sure to see more and more entertainment industry companies reaching out for help when dealing with their data environments.

Do you have any questions about this or any of the other industries MANTA covers? Go ahead and contact us at manta@getmanta.com

MANTA Cases #5: The Only Reason Developers Exist

Today’s edition of “MANTA Cases” was inspired by a recent MANTA Sales training. Our sales folks were discussing one of our largest customers, a Fortune 500 bank, and their struggle to track changes in an ever-moving environment.

Today’s edition of “MANTA Cases” was inspired by a recent MANTA Sales training. Our sales folks were discussing one of our largest customers, a Fortune 500 bank, and their struggle to track changes in an ever-moving environment.

Data lineage is not always a platform for proving the existence of security processes and achieving regulatory compliance. Sometimes data lineage just provides an elementary function: it tracks the changes and transformations in the data environment and visualizes them in a detailed and accurate map. And many of our customers use MANTA just for that!

Our customer, a Fortune 500 bank, had really comprehensive, high-level internal systems. In order to keep them up and running, it had its own team of developers following an agile development process. There were several reasons why the customer chose MANTA in the effort to automate their processes.

Reason #1: The Inevitability of Change

The bank’s management was very much aware that the development processes and changes in the environment needed to be recorded, not only to continuously improve future development but mainly to understand their data. But from the beginning, they were not quite sure how to achieve that. Their solution was to make developers write down, record, and notify the rest of the team about every change that they made in the environment. That didn’t work, mainly because it is almost impossible. After all, the only reason developers exist is to make changes in the environment.

Reason #2: The Pain of Documenting Stuff

Often—and this case was no different—teams of developers have their know-how, their undocumented knowledge. They know how they have built the environment, and they are the ones continuously working on it. Sometimes it is just impossible to get that knowledge out and documented. Also, people come and go. Often, there was no prior documentation for a task that was about to be completed simply because no one had ever done that before in this company. That is why the idea of MANTA is so promising for developers. It can read and document data automatically without prior assumptions of how the data flows should look. Which leads us to…

Reason #3: Make-believe Lineage

This is usually more of a post-data-lineage realization, but it is one of our favorites. Often, developers do have everything documented and know exactly what transformations are performed in their data warehouse—or so they think. After seeing MANTA’s data lineage, customers are often surprised by the visualization. They say they “could have sworn” it was “like this”. Well, you can’t fool MANTA.

The Result?

The customer deployed MANTA in several company teams to help with process automation. All processes and reports were delivered by MANTA in a matter of hours, replacing the months of manual work done in the past. They really took advantage of MANTA’s broad spectrum of connectors, because they had multiple data governance solutions in their company for different tasks. The developers used MANTA’s native visualization to track transformations in their data warehouse; the financial department used MANTA in combination with Collibra’s solution; another team used MANTA together with IBM Information Governance Catalog to calculate impact analyses; etc. With MANTA, the options are really unlimited.

Need MANTA for a new connector? Visit our Tech Hub! Don’t see what you are looking for? Write to us at manta@getmanta.com and find out where it is on our roadmap. 

MANTA Cases #4: Patient Zero (How it all began)

Have you ever wondered how it all started back in the day? Well, as another part of our MANTA Cases series, we’ll introduce to you the very first way MANTA was ever used, “Patient Zero”.

Have you ever wondered how it all started back in the day? Well, as another part of our MANTA Cases series, we’ll introduce to you the very first way MANTA was ever used, “Patient Zero”.

Patient Zero of MANTA was a member of the Société Générale Group, the Czech bank Komercni Banka. Back then, MANTA was no more than an internal tool of a Czech consultancy company, Profinit, which was hired to solve a data quality issue within Komercni Banka.

The problem was that some parts of Komercni Banka’s data warehouse had different coding because of special Czech diacritics that were more space-consuming than regular letters and symbols. This was creating a lot of mess throughout the piles of custom code. The customer was using a Teradata database, whose price varies according to the amount of data stored. As Komercni Banka had to store a phenomenal amount of customer data, they were trying to store it as compactly as possible to save money on database space.

In a Teradata database, you can store data in Unicode or in ASCII. In Unicode, you can store Czech letters like “š” or “ů” or any other language-specific symbols, as it has a larger format. ASCII is able to store only classic letters and numbers, but therefore takes up less space on the database. As not all Czech words and names have diacritics, this was an opportunity to store some data in a more compact format. (This use case could work with any language that has language-specific symbols, not only Czech.)

Komercni Banka first looked into the source systems to identify all source columns in the database that might have contained Unicode and those that contained only ASCII, and with the help of MANTA, they identified where the Unicode data was propagated and where it was clear that there was only ASCII data. After that, the company used MANTA Checker, a tool that MANTA originally developed to quickly fix errors in code, to perform an automatic add conversion function to the data that could be converted from Unicode to ASCII.

The bank has estimated that thanks to the use of both MANTA and MANTA Checker, they have saved quite a lot of money on storage fees, freed up several FTEs in the organization, and have been able to both monitor their environment and develop new code more efficiently than ever before.

Want more information about MANTA or MANTA Checker? Don’t hesitate to sign up for a free trial and schedule a call using the form on the right, or directly at manta@getmanta.com

MANTA 4 Insurance

After introducing “MANTA 4 Finance”, “MANTA 4 Healthcare”, and “MANTA 4 Telco”, we present the next part of our “MANTA 4 Industries” series. Read about the issues MANTA helps insurance customers solve in the article below.

After introducing “MANTA 4 Finance”, “MANTA 4 Healthcare”, and “MANTA 4 Telco”, we present the next part of our “MANTA 4 Industries” series. Read about the issues MANTA helps insurance customers solve in the article below.

Regulatory Compliance and GDPR

It can be said that the regulatory requirements in terms of data protection for this industry are even more strict than in other industries. The companies’ systems contain large amounts of sensitive personal data that, as we now all know, has to be safeguarded with extra care. The General Data Protection Regulation (GDPR) threatens companies with astronomical penalties for noncompliance.

Big problems can also arise from an inability to accommodate the fundamental rights of data subjects (right to access, right to erasure, right to restrict data processing, etc.).  In these cases, the company has to show the supervisory authority exactly how it secures its data. 

In the worst-case scenario, if there would happen to be a data breach, the insurance provider would have to prove that it did everything humanly possible to stop it! Data lineage is a way of showing that, by drawing out an end-to-end map of the dataflows and all their movements within the BI and analytics environment.

Dynamic Insurance

One of the problems that the health insurance industry is facing, which most people outside of it fail to see, is the dynamic pace at which the industry is currently moving. It is not just about long-term insurance plans or car insurance. As people tend to engage in last minute and other forms of impulse travel, together with a growing demand for short-term nonstandard insurance such as for adrenaline sports and other activities, insurance companies have to be able to give their customers real-time access to their services.

If you take into consideration the amount of already-existing data that is needed to meet industry demands for fast analytics and calculation capabilities, this is almost impossible to achieve manually. Tools like MANTA come in as a must to allow companies to keep up with such a fast pace.

IoT & Insurance

With IoT slowly creeping into every industry, the insurance industry is no exception. Networks of connected sensors among household appliances and devices would be able to regulate the amount of electricity that is being used in the home, autonomously control a building or home’s energy consumption, and optimize energy intake. On a bigger scale, this can be used not only for utility companies but also to calculate and adjust house and property insurance needs.

Safe Zone

Insurance companies are all about keeping you safe and giving you assurance. What MANTA does for insurance companies is assures them that their data is being used to the fullest, and it effectively protects them in case of compliance needs or data breaches.

Do you have some questions about how to use MANTA in another industry? Book a call with one of our pre-sales experts using our bot or write us directly at manta@getmanta.com

MANTA 4 Telco

After introducing “MANTA 4 Finance” and “MANTA 4 Healthcare” in our new “MANTA 4 Industries” series, we are now moving on to another industry that MANTA is very familiar with. Read about the issues MANTA helps telecommunications customers solve in the article below.

After introducing “MANTA 4 Finance” and “MANTA 4 Healthcare” in our new “MANTA 4 Industries” series, we are now moving on to another industry that MANTA is very familiar with. Read about the issues MANTA helps telecommunications customers solve in the article below.

Data is Gold

For most companies in telecommunications (before and after GDPR), data is a huge part of their business. But usually not such personal data as with healthcare patients, rather data about past and current subscriptions, tariffs, and packages that clients have been enjoying as well as phone numbers—both as a product and as a way to engage with customers for advertising purposes.

Apparently, business mergers and acquisitions, as well as database acquisitions, happen quite often in this industry. As a result, several of MANTA’s customers from the telco industry have sought MANTA’s help after running into problems caused by having one too many databases on hand.

Prior to such mergers, each company has its own DWH filled with unique and valuable data. Therefore, as part of their growth and data migration plans, it is necessary to consolidate. Other data governance solutions often cannot handle such large databases or automatically read them in a reasonable amount of time. That is why customers implement MANTA to map the part of their environment that is invisible to their data governance solution as well as to make the entire process of gathering data lineage faster and more effective.

Thanks to MANTA, the entire process of data migration and consolidation happens much faster than it normally would and with complete control over all the data being transferred, which prevents any errors or problems from occurring. And as a bonus, the next time the customer makes an acquisition, it will be much easier for it to merge the other company’s data into its system.

Data Anonymization

However, the data the companies store may still be subject to regulations, at least to GDPR. That is why many companies need to proceed with data anonymization. The subject of data anonymization, personally identifiable information (PII), consists of data elements that alone or in combination can directly or indirectly lead to the identification of a specific individual.

Companies must identify the various locations where sensitive or noncompliant data is being stored as well as discover the relationships between this data. Not all records are equally sensitive; not all need to be anonymized. Sometimes, only parts of the data need to be re-written. (For example, a name and a country code in the same table will most likely not lead to the identification of a customer, but adding a city name could end up leading to quite precise identification.)

Using MANTA, you can construct and analyze metadata models that will identify PII in any component of your BI and analytics solution.

Do you have some ideas about how you could use MANTA in your industry but want to discuss your case with one of our pre-sales experts? Don’t hesitate to book a call using our bot or write to us directly at manta@getmanta.com

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