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Overview

Digital age business models have made it pertinent for organizations to engage in digital transformation journeys. Demand for meaningful data to make appropriate decisions around life-time value analysis, foot-fall, cross-sell / up-sell, segmentation, churn, supply-chain analytics, etc. has been the new normal; as is the demand for speed (access to data). However, enterprises are facing data challenges from multiple angles mainly because data is federated across systems and geographical boundaries.

Need of the hour is to be nimble. Time-to-market, at which companies react to change, and make profitable decisions to create competitive advantage enabled through improved insights, has become a necessity. Today, one of the key requirements for enterprises is to make the right and relevant data available in the right format, at the right time, and at the right cost. “Data and BI Fabric” proposition addresses the need to deal with “Federated Data within an Enterprise” in a modern and efficient way.  At the core, ‘Data and BI Fabric” adheres to the following principles:

  • Embrace modern data engineering patterns that bridge performance and application functionality requirements
  • Enable self-service by honouring sensitivity and other governance policies on top of enterprise data repositories
  • Enable real time enterprise performance management through KPI based alert and notification
  • Integrate system health, performance, and usage monitoring 
  • Create and manage data knowledge graph

In a nut-shell HCL’s “Data and BI Fabric” can be understood as a converged approach to accelerate digital transformation of global enterprises by systematic conversion of data into asset.

Data Fabric Offerings

Sketch

  • Template based rapid development approach that reduces ingestion, curation and preparation time
  • Automated deployment, Configuration driven data pipeline(s) workflow 
  • Bottom Up capability on data lineage, ABaC, Log, and Operational dashboards 

Data Wave

  • Pattern based Code Generation for data movement; Out of the box patterns to accelerate code generation for targeted platforms
  • Central orchestrator to manage invocation and lifecycle of data movement pipelines across heterogeneous platforms
  • Web based UI to view operational metrics and lineage

Meta-M

  • Knowledge graph to store and link information about application, data, process, artefacts, features and functions, reports, analytics models, and so on across data fabric
  • Integrated data catalogue with provisions to fetch data from multiple catalogues

Data Marketplace

  • Democratization of data sets with coarse-grained control
  • Unified interface for CDO office to apply appropriate control towards publication and subscription of data
  • Self-service oriented subscription workflows
  • Automates delivery of data through multiple channels

Search First

  • Make data searchable in the data lifecycle as early as possible
  • Deterministic and probabilistic search across enterprise data
  • Not only exact, but relevant search results along with appropriate ranking 
     

OneFinRisk

Integrated Performance & Risk solution for the financial services industry, deployed through a unified data model with prebuilt integrations, solution frameworks, discovery bots and analytics

HiPerform

Enterprise Performance Management system with driver based assessment & forecasting models for Cash-flow Planning, Financial Planning, Workforce, Capex planning leveraging EPM cloud & on-premise applications from leading vendors.

Data Bi Fabric Services

Data Engineering

Rapid development and deployment of data engineering solutions using appropriate tools and technology; be it standard, big, or fast data.

Specialized Data Services

Provides advanced data services around NoSQL family including in-memory databases; data migration services for legacy modernization, cloud adoption; and enterprise data search.

Next Generation BI

Enable personalized BI to analyze information and derive insights; empower decision making process through analytical reasoning supported by interactive visual interfaces.

Digital CFO

Provide services to implement performance and risk solution for the financial industry; EPM solution with forecasting models; planning and budgeting solutions.

Leadership

David Sogn

David Sogn

Associate Vice President & Global Lead - Data Science, Digital & Analytics

David Sogn

A globally recognized digital transformation thought leader and data scientist, David has a demonstrated history of success in data architecture and modeling, machine learning, business insights, and operational efficiency to lead organizations to an advanced state of analytics maturity.

Submitted by mohit.ti on Tue, 2017-02-07 09:35
Solutions Template 2: 
Solution Title: 
Sketch
Solution Description: 
  • Template based rapid development approach that reduces ingestion, curation and preparation time
  • Automated deployment, Configuration driven data pipeline(s) workflow 
  • Bottom Up capability on data lineage, ABaC, Log, and Operational dashboards 
Solution Title: 
Data Wave
Solution Description: 
  • Pattern based Code Generation for data movement; Out of the box patterns to accelerate code generation for targeted platforms
  • Central orchestrator to manage invocation and lifecycle of data movement pipelines across heterogeneous platforms
  • Web based UI to view operational metrics and lineage
Solution Title: 
Meta-M
Solution Description: 
  • Knowledge graph to store and link information about application, data, process, artefacts, features and functions, reports, analytics models, and so on across data fabric
  • Integrated data catalogue with provisions to fetch data from multiple catalogues
Solution Title: 
Data Marketplace
Solution Description: 
  • Democratization of data sets with coarse-grained control
  • Unified interface for CDO office to apply appropriate control towards publication and subscription of data
  • Self-service oriented subscription workflows
  • Automates delivery of data through multiple channels
Solution Title: 
Search First
Solution Description: 
  • Make data searchable in the data lifecycle as early as possible
  • Deterministic and probabilistic search across enterprise data
  • Not only exact, but relevant search results along with appropriate ranking 
     
Solution Title: 
OneFinRisk
Solution Description: 

Integrated Performance & Risk solution for the financial services industry, deployed through a unified data model with prebuilt integrations, solution frameworks, discovery bots and analytics

Solution Title: 
HiPerform
Solution Description: 

Enterprise Performance Management system with driver based assessment & forecasting models for Cash-flow Planning, Financial Planning, Workforce, Capex planning leveraging EPM cloud & on-premise applications from leading vendors.

Serviceline Inner Whitepaper Header: 
THOUGHT LEADERSHIP
Serviceline Inner Thought Leadership Header: 
INSIGHTS
Solutions section heading: 
Data Fabric Offerings
Services Template 2: 
Services Description: 

Rapid development and deployment of data engineering solutions using appropriate tools and technology; be it standard, big, or fast data.

Services Icon: 
Services Title: 

Data Engineering

Services Description: 

Provides advanced data services around NoSQL family including in-memory databases; data migration services for legacy modernization, cloud adoption; and enterprise data search.

Services Icon: 
Services Title: 

Specialized Data Services

Services Description: 

Enable personalized BI to analyze information and derive insights; empower decision making process through analytical reasoning supported by interactive visual interfaces.

Services Icon: 
Services Title: 

Next Generation BI

Services Description: 

Provide services to implement performance and risk solution for the financial industry; EPM solution with forecasting models; planning and budgeting solutions.

Services Icon: 
Services Title: 

Digital CFO

Services section heading: 
Data Bi Fabric Services
Add HTML (After Partnership): 
<div id="leadership" class="leadership"> <div id="leadership"> <div class="section"> <div class="container"> <div class="page-title"> <h2><span>Leadership</span></h2> </div> <div class="row content-main-block"> <div class="content-block"> <div class="col-container"> <figure><img alt="David Sogn" src="/sites/default/files/david_sognv1.png" title="David Sogn" /></figure> <div class="profile-summary"> <h4>David<span> Sogn</span></h4> <h5>Associate Vice President & Global Lead - Data Science, Digital & Analytics</h5> </div> </div> </div> <div class="more-info-container"> <h4>David Sogn</h4> <div class="leader-summary"> <p>A globally recognized digital transformation thought leader and data scientist, David has a demonstrated history of success in data architecture and modeling, machine learning, business insights, and operational efficiency to lead organizations to an advanced state of analytics maturity.</p> </div> <div class="social-infra"> <h4>Connect</h4> <ul> <li class="in"><a href="https://www.linkedin.com/in/analyst/" rel="nofollow" target="_blank" title="Linked In">Linked In</a></li> <li class="tw"><a href="https://twitter.com/dsogn" rel="nofollow" target="_blank" title="Twitter">Twitter</a></li> </ul> <div class="leadership-know-more"> <a href="https://www.hcltech.com/digital-analytics-services/digital-transformation-leaders/data-analytics-profile#David" class="explore-more">Know more</a> </div> </div> </div> </div> </div> </div> </div> </div>