67% of data available to Indian businesses remains unutilised ... 74% Indian participants felt there is a lot more room for improvement in how their organisations’ manage data ... Collecting the data that is needed, making it usable, managing it, ensuring it is stored securely and creating different silos of collected data are some of the barriers faced by large number of organisations IDC report: July 2020
Inability to act on data in real time is one of the biggest challenges for Indian marketers ... Nearly all considered integrated marketing automation solutions and data integration tools as top priorities over the next three years. - Resulticks Research Report: June 2020 -
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+91 74 066 24 888
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$ 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 across enterprises 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 data will be available in a central location, in high-quality, 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 (compliance, data curation, data lifecycle management etc.).
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 Data Fabric streaming and write back features
Some data challenges Data is scattered across the company in data silos Searching and organising 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. Implementing governance mechanisms Knowledge of the (complex) infrastructure and where the data is stored is required No relationships between data can be found or querying data is too complex Having strong data management in place
Our solution Automated data integration by our unique data integration pattern (NO ETL) for hundreds and even thousand different data sources Automated and realtime streaming of high-quality data to any platform for upstream consumers Creating high-quality data by i.a. automation of data preparation and applying 18 data quality metrics. Data will be gathered, organised, cleansed, deduplicated, enriched, normalised and blend. Applying (data privacy) policies prior to streaming data for e.g. analyses (pseudonymisation or anonymisation of PII data) and offering a complete set of data governance tools 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 and use one single intuitive query language Automation of many data management tasks while providing insights
Solving data challenges
Automated data integration Automated streaming of high-quality data No need to know where data is stored
All about data and innovation
+31 (0) 252 225 466
67% of data available to Indian businesses remains unutilised ... 74% Indian participants felt there is a lot more room for improvement in how their organisations’ manage data ... Collecting the data that is needed, making it usable, managing it, ensuring it is stored securely and creating different silos of collected data are some of the barriers faced by large number of organisations IDC report: July 2020
Inability to act on data in real time is one of the biggest challenges for Indian marketers ... Nearly all considered integrated marketing automation solutions and data integration tools as top priorities over the next three years. - Resulticks Research Report: June 2020 -
All about data and innovation
© S10 group 2020
Secured by Sectigo
High quality data
All your valuable data will be available in a central location, in high-quality, 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 (compliance, data curation, data lifecycle management etc.).

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 across enterprises 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 across the company in data 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 or querying data is too complex Having strong data management in place
Our solution Automated data integration by our unique data integration pattern (NO ETL) for hundreds and even thousand different data sources Automated and realtime streaming of high-quality data to any platform for upstream consumers Creating high-quality data by i.a. automation of data preparation and applying 18 data quality metrics. Data will be gathered, organised, cleansed, deduplicated, enriched, normalised and blend. Applying (data privacy) policies prior to streaming data for e.g. analyses (pseudonymisation or anonymisation of PII data) and offering a complete set of data governance tools 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 and use one single intuitive query language Automation of many data management tasks while providing insights
Solving data challenges
+91 74 066 24 888