Data Integration and Analytics

Businesses are gathering large volumes of data from numerous sources. This data must be accessible for analysis to draw benefits. For organizations to compete in the modern economy, integrated data unlocks a layer of connectedness. This benefits the firm as a whole rather than simply a team or an individual, encouraging inter-system cooperation for the entire company.

Through efficient Data Integration process we help to combine data from various sources into a single database. Its main objective is to give users consistent access and ensure availability of data across a wide range of topics and structure types and to satisfy the information requirements of all applications and business processes. Without efficient data integration and data integrity, there is no effective data analytics.

Self Service Analytics

Self-service analytics, a stage in higher levels of the Business Intelligence maturity curve, is a continually expanding and improving field with reducing dependency on IT for data visualizations and dashboards. Tools like Tableau, Power BI, QuickSight, Google Data Studio, Qlik Sense, Alteryx, and more are helping organizations.

Do you have the infrastructure and processes set-up to take advantage of Self-Service in your analytics roadmap?

Cloud Data Platforms

With increased dependencies on cloud computing functionalities and varied cloud / on-prem data sources, Cloud Data Platforms become necessary to leverage scalability, perform advanced analytics cost effectively, or fast track Digital Transformation initiatives.

What values hidden in your data can you unleash with right Cloud Data Platform for your enterprise?

Data analytics can be used to improve
decision-making in your sector of business.
Take a quick look!

  • Predict equipment failure
  • Discover potential issues in the manufacturing units or products
  • Find efficient suppliers and optimize supply chains
  • Provide hyper-personalized services and customer experiences throughout the customer journeys
  • Address crucial events, such as customer complaints, customer churn
  • Optimize inventory & distribution channels
  • Define Customer 360 vision
  • Analyze practitioners, providers, suppliers and grow network
  • Analyze medical reports, detect abnormalities in scans and tests
  • Optimize Call Center spend
  • Improve coverage and multi-media experiences
  • Improve churn rate
  • Streamline product offerings
  • Analyze and optimize Marketing spend
  • Analyze customer support expenditure and improve performance
  • Improve user tracking through different channels and improve customer satisfaction
  • Analyze and optimize contracts & suppliers
  • Improve product engineering process
  • Improve product adoption
  • Track and manage cloud spend

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Curious to know, what change can we bring in the data culture of your organisation? Book an appointment with us.

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