Business Intelligence & Performance Management

Corporate environment today is more dynamic than ever, with mergers and acquisitions, consolidation, and regulatory changes. To succeed, an enterprise like yours needs to develop an ability to sense these changes, and thus respond to them quickly and smartly.

Business intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information and sometimes to the information itself. The purpose of business intelligence is to support better business decision making. Thus, BI is also described as a decision support system (DSS). In general, business intelligence systems are data-driven DSS.

Through its experience and technical strength, CIBL commits to provide its clients with highly efficient BI systems that provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data. Software elements support the use of this information by assisting in the extraction, analysis, and reporting of information.

CIBL’s performance engineering offerings encompasses the set of roles, skills, activities, practices, tools, and deliverables applied at every phase of the Systems Development Lifecycle which ensures that a solution will be designed, implemented, and operationally supported to meet the non-functional requirements defined for the solution. Adherence to the non-functional requirements is validated by systematically monitoring the production systems.

Corporate Challenges
  • Growing volumes of organizational data, and the ability to leverage it effectively
  • Absence of consistent master data, customer data, enterprise information and systems to manage the same Which lead to -
    • Ineffective and inadequate business intelligence
    • System failure and system rework due to performance issues
    • Intolerable system tuning effort
    • Additional and unnecessary hardware acquisition costs
    • Inability to manage customer information
    • Process delays: late system deployment
    • Data non-compliance issues
    • Operational overhead for handling system issues due to performance problems

CIBL Offerings

CIBL offers a Service Oriented Architecture (SOA) framework of Integration and Information Management Services. The framework helps converging Enterprise Integration, Business Intelligence and Content Management initiatives, thus driving down the cost of IT and providing the agility to address changing business and regulatory requirements.

Offerings embedded with CIBL’s SOA Framework include:
  • Architecture Strategy Consulting
  • Process Optimization and Consulting
  • Change Management
  • Business Intelligence (BI) and Knowledge Management (KM) Implementation
  • Governance of technology Centers

Value to Business

CIBL SOA Framework helps organizations optimize and monitor business processes on a granular level. This could lead to at least 10% increase in operational efficiencies and up to 90% reduction in cost for adapting to new technical challenges and regulatory compliance requirements.

With the SOA framework, CIBL promises to provide its clients with abilities to:

  • Increase business revenue by ensuring the system can process transactions within the requisite timeframe
  • Eliminate system failure requiring scrapping and writing off the system development effort due to performance objective failure
  • Converge business intelligence and knowledge management through real-time integration
  • Quickly re-orient your business processes at a granular level in response to business environment changes
  • Have the ability to easily adapt to current and new regulatory needs
  • Eliminate late system deployment due to performance issues
  • Eliminate avoidable system rework due to performance issues
  • Eliminate avoidable system tuning efforts
  • Avoid additional and unnecessary hardware acquisition costs
  • Reduce increased software maintenance costs due to performance problems in production
  • Reduce increased software maintenance costs due to software impacted by ad hoc performance fixes
  • Reduce additional operational overhead for handling system issues due to performance problems

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