Data Analytics & Business Intelligence

Effective management of data, both internal and external, facilitates better decision making and enhances profitability, with lowered risks. Business intelligence solutions, when implemented effectively, reduce the complexities involved with monitoring, measuring and transforming data and its dynamic role.  Peekhunt Consulting Institute’s Data Analytics and Business Intelligence (DA/BI) solutions help organizations monitor their systems on a real-time basis, and respond in time to changing market dynamics. With a strong focus on converting data into information that can be analyzed by users, our DA/BI solutions provide valuable insights and enhanced operational efficiencies.

Client Challenges

In a bid to attain effective data management, organizations are often faced with challenges such as:

  • Obtaining a consolidated view of enterprise data
  • Improving revenues profits, hampered by unclear aligned business process management with a need to map or connect areas
  • Successfully leverage enterprise application investments to turn data into meaningful insight
  • Attain ability to plan respond to market changes through faster modelling of potential opportunities
  • Dealing with inconsistency in market-facing function, due to inferior understanding of business dynamics
  • Ensuring compliance in increasingly complex regulatory environment

What Peekhunt Consulting Institute Provides

Our Data Analytics and Business Intelligence portfolio includes:

  • Consulting offerings
  • Analytical Centre of Excellence offering, a value-based engagement approach
  • Horizontal offerings
  • Sustain/Application Maintenance Support
  • Industry offerings, using best practices standards
  • A global delivery model using end-to-end DA/BI solutions in Onsite/Offshore and Offsite/Offshore models

Business Value

Partnering with Peekhunt Consulting Institute allows organizations to enhance their Data Analytics and Business Intelligence capabilities through:

  • Improved data quality
  • Remedies for inconsistencies distributing data broadly
  • Leveraging aggregate for competitive advantage
  • Changing with respect to data usage
  • Increased compliance with internal/external regulations &  standards