Why Forcive
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The first Information Operating System
to  support the challenges of Digital Companies wishing to create a business edge with Information

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Why Forcive?

  • "Because you don’t want to keep you data hostage of applications."
  • Because you don’t want to repeat the data silos mistake even with Hadoop and NoSQL Data Stores.
  • Because you don’t want to initiate or continue a cloud journey without a clear exit strategy.
  • Because you don’t want separate systems to manage the static and dynamic aspects of your data.

Because you don’t want to maintain and keep growing multiple platforms when they can be replaced by one solution:

Forcive Information Operating System

Forcive  Information Operating System is a completely redesigned new concept, architected explicitly to put data value in the core of all business operations. The design is based on the following four principles:

  • Dynamic Data Distribution: Data Lake technologies (Hadoop, NoSQL, Storage and Cloud) provide a grid of “communicating vessels” where data can move freely;
  • Dynamic Data Structures: Multi-structured data are complemented with dynamic metadata, dynamic information relationships and auditability.
  • Data Processes: Operational Processes are attached to  Data (not vice versa) in order to deliver, among many other advantages, Data Provenance as an inherent feature.
  • Access Control: Access Control and Security are directly associated with data, metadata, data relationships and audit trails, in real-time, regardless  their  physical location and logical organization.
 4 Pillars
  • The DDD abstracts data  from the underlying deployment options (On-Premises, Cloud or Hybrid), repositories (Hadoop and NoSQL) and storage media (from flash disk to tapes), and enables a free movement of isolated data elements or data clusters within the virtualized data infrastructure, without any service interruption or data loss.
  • The DDD prevents data from being “locked-in” to specific technologies, providing a simple exit strategy for every decision related to deployment models, content and data repositories, or storage structures.
  • Structured, unstructured, or multi-structured data and content, can be enriched during their lifetime with multiple sets of metadata (describing their value and context) and data links (describing the logical relationships between data).
  • In addition, every operation dealing with data is captured and associated with that data, providing  its complete provenance for analysis and compliance.
  • There are no limits or restrictions on metadata and data links volume nor on  data provenance complexity.
  • Perhaps more importantly, these structures do not need to be defined in advance, allowing agile data value models to evolve over time, as the value of the information changes.
  • Unlike traditional Business Process Management systems, processes are directly associated with  data, becoming effectively an additional form of metadata.
  • This revolutionary approach to process management results in complete auditability of data provenience and the history of the journey that defined it. This not only helps organisations comply with regulatory requirements, but provides unlimited analytics and business value potential.

Access Control and Security are directly associated with  data, metadata, data relationships and audit trails, in real-time, regardless their  physical location and logical organization.

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Contact us
  • 20-22 Wenlock Road London,

  • N1 7GU United Kingdom

  • +44 (0) 207 6085067