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Crawling data fully automated from internal and external data resources

With the Data Fabric, we take care of data integration ( iPaaS / DaaS ). By using crawlers, we gather fully automated all structured data, unstructured data and image-only files. We do this for all internal sources (including legacy systems). We can also add data from external sources. All sorts of functionalities can be offered from the Data Fabric after this. July 2019: Gartner states in their “Hype Cycle Report for Enterprise Information Management” the following: "Data and analytics leaders such as data architects should consider DaaS-style architecture as one option to expand and complement the existing data management strategy and infrastructure . DaaS can serve as a means of addressing the growing variety of data, and this is sometimes represented as part of a new value statement for building this type of infrastructure.”

Data cleansing

During the data crawling process, we cleanse the collected data fully automated. By ‘natural language processing’, our 18 data quality metrics and triangulation techniques, we are able to de-duplicate and enrich data, to put data relations in place, to blend and organise data. With these steps, the data quality will be improved and the first step is taken to turn data into information.


The data fabric uses four different types of databases. Since all content is integrated in the Data Fabric, queries can resolve all kinds of issues. For example, fraud detection is possible and information can be received in real time as soon as specific data is processed or added in your organisation. But also machine learning, artificial intelligence and business intelligence applications are possible by streaming the specifically desired data fully automatically to the applications that you already use. New data sets that meet your requirements will also be streamed in real time. The data from the Datafabriek can be made available via push and pull techniques to Data Warehouses, Power BI, Google BigQuery or any tool that needs cleansed and deduplicated data. The Datafabriek can offer extra functionalities for platforms such as Azure, Hadoop and IBM data lake. As such, the Data Fabric fits into any infrastructure and makes with this processes more efficient and saves time and money.

Data insight

While crawling for content, we also include the access rights structure, metadata and log files. This enables us to provide you with data control over and data insight via dashboards and by automating processes. This makes governance, risk management and compliance support possible in several areas, including: automatic cataloguing of documents via machine learning techniques applying ‘data leak detection’ and even ‘ data leak prevention ’ (DLP) to, for example given, documents categorised as sensitive acquiring insights regading personally identifiyable information . Reports can be generated and information provided about the data locations without having to involvement any other department. Data can be anonymised fully automatically when data is streamed for analysis (BI, data science, etc.). fully automated application of data retention policies . ‘Data lifecycle management’ (DLM) can be fully automated or applied after an approval loop by data owners.

Data becomes information

Through data integration, the cleansing, blending and enrichments of data, the dashboards and allerts, the data analysis and BI possibilities, the unique 'unified view', the ability to add external data sources, the real time processing of information that becomes immediately available for knowledge workers, management or data scientists, being able to find a needle in a haystack, acquiring data insight and more, data will be converted into information . Because the Data Fabric can establish relationships between data and is strong in ‘data lineage’, not only applications in the area of unstructured data are on the horizon, but also on structured data. Establishing relations between records and analysing them is possible, example goiven for ERP systems. This allows the realisation of unprecedented insights. By processing external data sources, many other applications are also possible including ‘know your customer’ (KYC) and a 360 degree view of employees and organisations. The Data Fabric is of great value for board of directors and management, marketing, HRM, recruitment, data scientists, IT and knowledge workers amongst other people and departments.

Thanks to innovative technology, our Data Fabric distinguishes itself in the following areas:

If you would like to obtain more information about our Data Fabric or if you have any questions about the many other use cases the Data Fabric has to offer you or if you have questions about the technology behind the Data Fabric, please contact us!

The Data Fabric: a limited selection of many possibilities

With the Data Fabric, data will be turned into information!

Data is only information when it answers a question and that is possible with our Data Fabric! With the aid of our Data Fabric, applying data analyses, business intelligence and artificial intelligence becomes much more efficient. Data scientists do not even have to know where the data comes from. All data is already collected, organised and cleansed, regardless of the complexity of your IT- infrastructure and regardless of the amount of data sources. Data of external sources can be integrated as well. This data will be deduplicated, cleansed, enriched and relations put in place as well. Any (new) quality data set, matching your query, will be streamed to your platform automatically. With this, a lot of time spent on data preparation will be saved, data quality will be improved and your data science, BI and AI departments, will work much more efficient. Privacy in the streamed data sets is guaranteed. Data can be anonymised and pseudonymised automatically. Also, internal privacy policies can be applied or rules regarding GDPR, CCPA, HIPAA etc.. Fraud can be detected automatically by the Data Fabric, insights can be gained into ‘data lineage’, GRC and other data related matters. We like to think along with you to make your company really data driven! Alles draait om data. Met de datafabriek kunnen wij u de “nieuwe olie” optimaal laten benutten.

Automated search for personally identifiable information: you save time

Since may 25th 2018 the GDPR is enforced. With this, the emphasis is put on privacy. Since this date, more countries have implemented GDPR-like data privacy laws like USA (on state level), Australia, Brazil, Japan, South Korea and Thailand. Several rights and obligations deriving from this, might result in time consuming actions for organisations. One could think of the right of access by the data subject or the right to erasure but also the accountability in general. These time-consuming actions can be executed automatically by using our Data Fabric. We are able to establish a unified view of all personally identifiable information (PII) and show in what files and records the PII is located and where the data comes from. We can create a full GDPR report and we can write back to over 350 original sources. If preferred, this would allow organisations to anonimise information at the source or even to delete information. Out-of-the-box, we recognise 115 different PII . With this, our privacy support is not only applicable for the GDPR, but also for any (future) privacy related policy around the world. Please feel free to ask for a DEMO. With our Data Fabric privacy support, neither additional people nor departments will have to be involved. The Data Fabric takes care of the time consuming activities. You save valuable (search) time!

Finding back data: faster and complete - better decisions

The amount of data grows exponentially. Per day we produce a bit more than 2 exabyte (10 18 byte) of data. Retrieving information takes more and more time. In addition, we live in a time where the pressure for making quick decisions only increases. Accurate information is worth gold. It is not for nothing that data is called 'the new oil', but then the data must be found first. Knowledge workers spend around 20% of their time on retrieving data. But even then, often the correct data is still not found. Not being able to find data in its entirety is a growing problem with multiple consequences. Decisions cannot be made in time or are made while having defective information or are based on outdated data. This can cost an organisation a lot of money. With our Data Fabric, all data is at your fingertips. In just three steps, even a needle in a hatstack can be found via our "enterprise search". You enter a word, use filters and optionally advanced search. Results can be ordered by relevance or by other means. Per FTE of a knowledge worker, around 9 hours a week will be saved on data management.

Governance risk & compliance

More and more rules are being made, so that the "regulatory burden" is increasing. This creates challenges in the areas of governance, risk management and compliance. Our Data Fabric is very flexible. Risk analyses can be done and all kind of data related functionalities can be realised such as data lifecycle management (DLM), data leak prevention (DLP), data privacy issues and much more. With API’s we can also integrate external data into your Data Fabric. With this added data, an incredible number of use cases are possible like performing PEP-checks and obtaining a customer 360 degrees view/know your customer (KYC). Governance, risk and compliance have never been so insightful and controllable! With our Data Fabric, we support organisations to actually become data-driven while being compliant. Our approach and solutions are unique and distinctive! Rules with regards to records retention have to be complied with. With our Data Fabric you can automatically catalogue and classify all data with a combination of machine learning and tagging techniques. You determine the data retention criteria. We arrange the automated classification and after this, we automate migration, data retention and destruction processes for you. For example, stale data can be moved to a low tier storage for historical technical reasons or data specifically identified be deleted for compliancy reasons. Data for analysis can be moved to a higher tier, sensitive data isolated etc.. Your data retention policies are enforced automatically while saving money on (cloud) storage capacity.

Data leak Prevention/Data Loss Prevention:

you prevent (reputation) damage

Data is the most valuable asset of any company. Protecting data against "internal threats" is just as important as protecting your data against external threats. But with the GDPR that has come into effect, data breaches have gained a lot of additional attention. Data breaches can have far-reaching, serious consequences. A data breach can lead to reputation damage, but your valuable data can also fall into the wrong hands additionally. Both should be prevented: Data Leak Prevention / Data Loss Prevention (DLP). With our Data Fabric, a DLP system can become operational in a number of steps. The stakeholders must first determine what is secret, sensitive, internal and public data. From the Data Fabric, through machine learning techniques, all your data can automatically be identified and classified. Within the Data Fabric, we tag the data. The tagged data can be monitored within the Data Fabric. For highly sensitive data, "listeners" could be implemented with the possibility to provide real-time intervention. We can write back to over 350 file extensions. After automated classification, by this we can also adjust the properties of the original files. This way we can make files ‘read only’ or prevent data to be printed. The Data Fabric summarised


The Data Fabric gathers all your data, organises your data, deduplicates and cleanses it. Relations between data are defined.


Desired data can be streamed to other applications (push and pull)


Many internal data related "use cases" can be realised













































































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Data Fabric

iPaaS / DaaS
Saving costs by data cataloguing and taxonomy Data leak prevention and data loss prevention GDPR, CCAP, HIPAA, PIPEDA data fabric, searching for and finding data Datafabriek zoeken en vinden van persoonsgebonden data Datafabriek governance risk compliance Datafabriek data retentie procedures toepassen Datafabriek data leak prevention
Datafabriek: data wordt informatie

Cleaning up by data classification:

automation of data retention policies

Data becomes information and data related processes become more efficient Many use cases are possible: from streaming data to GRC.
S10 Data fabric in a nutshell Datafabriek zet data om in informatie
Improving efficiency while saving costs
Data Costs Data Telemetrie Data Orchestration Data Discovery Data security and access control Backup / Archive / Recovery Cloud Data Localisation On-Premise Data Lake Data Integration Business Enterprise Search Machine Learning Workflow Business Intelligence Visualisations Augmented Analytics Data fabric enterprise search and augmented analytics
Machine Learning
Enterprise Search
Business Intelligence
Augmented Analytics
Data Fabric
Data Mining
Data Preparation
Data Virtualisation
Data Enrichment
Data Catalogue
Data Warehouse
Data Streaming
Data Vault
Data Governance
Data Cleaning
Data Retention
Data Lineage
Data Lake
Distributed Processing / Storage
Data Integration
Infrastructure / Storage / Clustering
Backup / Archive / Recovery
User and role management Security . Access control Data discovery Data Orchestration Data telemetrie Data Costs
Your software stack e.g. Office 365
Data Localisation
Data blending and data deduplication Data Fabric also supports CCPA Data Fabric also supports HIPAA Data Fabric also supports PIPEDA to TOP to TOP Governance, risk & compliance (GRC) Page content: Datafabriek betere management besluiten Data fabric increases efficiency and saves on costs Data Fabric om,proves efficiency and reduces costs
Data Integration
Data Management
Data Preparation
Data Governance
Data Cleaning
Data Catalog
Data Lineage
Data Training
Data Intelligence
Data Mart
Data Access
Data Workflow
Data integratie van alle bronnen en platforms
Data Lineage
Enterprise search
Know your customer
Employees 360 degrees view
Data privacy
Data cataloguing
Automation of Data Retention & destruction policies
On Premise
Datafabriek streamt iedere data naar platforms en applicaties And many others… Data Fabric $ Datafabriek streamt iedere data naar platforms en applicaties
Subject data request
And many use cases…
1. Collecting data & data curation/normalisation 2. Organising data and data governance, processing new data and requests 3. Streaming of defined quality data to applications/platforms 4. Data management and internal use cases
Collecting data
Data normalisation & data curation, DLP
Organising Cleansing Enrichment Deduplication Execution of queries Data relations Etc., etc.
Data streaming (push/pull)
End user features
Data as a Service (DaaS) Data collection Business intelligence and AI GDPR Data becomes information Data insight Data analyses Data cleansing Enterprise search Concluded DLP GRC