© S10 group 2020
+31 (0) 252-225 466
Secured by Sectigo
Automated data integration Automated streaming of high-quality data No need to know where data is stored
$ Data Fabric

The data challenges: why is our Data Fabric required?

“Having data is only relevant if you can and will do something with it” Data is scattered everywhere like in information   silos . For getting information out and control over this data, for enterprises the biggest challenge is to gather and blend these various data sources. Data pollution occurs often but must be prevented! The Data Fabric is capable to integrate   data from any (complex) infrastructure and to create a solid data foundation with high- quality   data for data consumption like data analytics, AI, BI and data science but also for data management, GRC, enterprise search and much more.

For what data challenges is the Data Fabric the solution?

High quality data
You have invested already a lot of money in your current infrastructure and offcourse want to (re)use these investments as much as possible. We second that. In our opinion, the best approach is to keep using everything that works and you are already familiar with, but to solve specific data related problems by implementing an integrated solution; by adding our innovative Data Fabric to your infrastructure as middleware. With this, we offer you a unique Data   as   a   Service solution that fits in any infrastructure!
All your valuable and high-quality data will be available, in a central location for use that you determine. System log files, metadata and access rights structure are processed as well. With the Data Fabric you can stream any data set defined and write back to your original sources.
Due to the innovative technology applied, the flexibility and scalability, many data solutions can be realised to many data challenges (your "use cases"). One could think in the areas of governance, risk & compliance, automation of data retention and destruction policies, searching and finding data (even the needle in the haystack), CDD, AML, DLM, KYC, data curation (e.g. MDM) and much more.
Data Fabric logo
For the above challenges (and more!), the Data Fabric offers you an automated solution!
How do we do this?
Learn more Learn more
All about data and innovation
Data Fabric streaming and write back features
Some data challenges Data is scattered in the company and in silos Searching for new data sets for analyses, BI, AI, data science and ML Data pollution and data swamps exists: no high- quality data is available for performing proper analysis. Merging data is very difficult. Respecting privacy when analysing data Knowledge of the (complex) infrastructure and where the data is stored is required No relationships between data can be found
Our solution Automated data integration for hundreds and even thousands of data sources Automated and realtime streaming of all new data to applications that processes such data Automated data preparation: gathering, organising, cleansing, deduplicating, enriching and blending of data and applying relationships between data Applies (data privacy) policies, anonymises or pseudonymises data before it is streamed for e.g. analyses Fully automated streaming of desired data without the need for any knowledge of where the data should come from Put fully automated, relationships between data in place
+31 (0) 252 225 466
All about data and innovation
© S10 group 2020
+31 (0) 252 225 466
Secured by Sectigo
High quality data
All your valuable and high-quality data will be available, in a central location for use that you determine. System log files, metadata and access rights structure are processed as well. With the Data Fabric you can stream any data set defined and write back to your original sources.

The data challenges: why is our Data Fabric

required?

“Having data is only relevant if you can and will do something with it” Data is scattered everywhere like in information    silos . For getting information out and control over this data, for enterprises the biggest challenge is to gather and blend these various data sources. Data   pollution occurs often but must be prevented! The Data Fabric is capable to integrate    data from any (complex) infrastructure and to create a solid data foundation with high-quality   data for data consumption like data analytics, AI, BI and data science but also for data management, GRC, enterprise search and much more.

For what data challenges is the Data

Fabric the solution?

You have invested already a lot of money in your current infrastructure and offcourse want to (re)use these investments as much as possible. We second that. In our opinion, the best approach is to keep using everything that works and you are already familiar with, but to solve specific data related problems by implementing an integrated solution; by adding our innovative Data Fabric to your infrastructure as middleware. With this, we offer you a unique Data   as   a   Service solution that fits in any infrastructure!
Due to the innovative technology applied, the flexibility and scalability, many data solutions can be realised to many data challenges (your "use cases"). One could think in the areas of governance, risk & compliance, automation of data retention and destruction policies, searching and finding data (even the needle in the haystack), CDD, AML, DLM, KYC, data curation (e.g. MDM) and much more.
Data Fabric logo
For the above challenges (and more!), the Data Fabric offers you an automated solution!
How do we do this?
Learn more Learn more
Automated data integration Automated streaming of high quality data No need to know where data is stored
Data
Fabric
$
Data Fabric streaming and write back features
Some data challenges Data is scattered in the company and in silos Searching for new data sets for analyses, BI, AI, data science and ML Data pollution and data swamps exists: no high- quality data is available for performing proper analysis. Merging data is very difficult. Respecting privacy when analysing data Knowledge of the (complex) infrastructure and where the data is stored is required No relationships between data can be found
Our solution Automated data integration for hundreds and even thousands of data sources Automated and realtime streaming of all new data to applications that processes such data Automated data preparation: gathering, organising, cleansing, deduplicating, enriching and blending of data and applying relationships between data Applies (data privacy) policies, anonymises or pseudonymises data before it is streamed for e.g. analyses Fully automated streaming of desired data without the need for any knowledge of where the data should come from Put fully automated, relationships between data in place