DATA MOBILITY | QUIPU - Digital Twin

WHY DATA MOBILITY?

The resources an enterprise spends for seamless cross-domain data mobility are massive and it affects many facets of the organization like higher data integration costs, poor data discoverability, and slower time to insights. This problem is ubiquitous and is caused by the knowledge gaps between business units, the formation of data silos, and leading to distributed data governance.

LOW DATA INTEROPERABILITY

Data warehouses and data lakes are no longer state-of-the-art paradigms of data integration.

Lack of common representation & poor interoperability is the unintended consequence of data silos.

POOR DATA DISCOVERY

Data ambiguity, lack of data contextualisation & domain knowledge makes it less actionable.

Lack of semantic enrichment decreases the ability to query underlying data and increases time to knowledge.

SOLVING DATA IMMOBILITY WITH
KNOWLEDGE MOBILITY FRAMEWORK

DATA
FABRIC

Knowledge Layer to enable a unified view by connecting underlying disparate data systems for efficient information retrieval allowing holistic & data-centric decision making.

SEMANTIC DATA CATALOG

Organise metadata & automatize sharing common representation of data across data silos to make it interoperable, future proof & reusable.

MICRO
PERSPECTIVES

Contextualise data to a specific section from heterogeneous data silos by building perspectives and defining localised schema.

ENTITY
RESOLUTION

Extracts & disambiguates named entities featured in unstructured data from a pre-defined domain-specific context .

QUESTION-
ANSWERING

DATA CONTEXTUALISATION

Codifying domain-specific context will add meaning to data which enables AI to achieve human-like perception in real-time.

SEMANTIC
SEARCH

Enhanced data discovery with context-aware & domain-specific information retrieval across the organisation

Natural Language Question Answering systems to provide consolidated information as a result from enterprise knowledge, which could be plugged to your BI tools, bots, etc.

REGULATORY COMPLIANCE

Compliance Management enables users to codify, manage & track various business rules, processes & regulations across data silos facilitating data-driven compliance.

ENTITY
360*

Entity graph 360*, represents processes, products, people, policies, etc, in machine-understandable format and paints a holistic picture by utilizing the power of connected data.

GRAPH
ANALYTICS

Leverages graph technologies to enable faster, holistic & data-based policy Making, pushing one step closer to explainable AI by trustworthy & reproducible analytics.

WHY DATA MOBILITY?

LOW DATA INTEROPERABILITY

POOR DATA DISCOVERY