Data Strategy and Architecture

Data Analytics

Leverage on augmented insights from professional analytics and derive strategic measures.

Opportunity Realization

Identify opportunities for growth through data analytics , and formulate an actionable strategy.

Data Quality

Unfiltered, unstructured, and poor data quality is a detriment to seamless operation, effective decision making, and planning.

MEASURE & MONITOR

Focus everyone on your new single source of truth.

Why Infometry

  • Discovery and assessment of existing data architecture, data collection points, history requirements, and security aspects
  • We work closely with customers to test the functionality and address any issues
  • Proven track record of successful projects
  • Analysis of short-term and long-term Business Intelligence, Analytics and data retention policies from external entities such SEC, Government
  • Provided services top-notch fortune 100 Clients
  • Satisfied clients in multiple domains

Infometry helps customers in designing the Enterprise Data Strategy and Architecture. Data collected across multiple business process across multiple applications such as ERP, CRM, HRMS, Partner management, Asset Management, Talent Management, Vendor Management, Engineering Project trackers, Application logs..etc are treated as “Assets” for the organization provided the data is complete, concise and correct.

 

Considering the volume of data collected is growing exponentially along with the need for deep-dive analytics, it is very critical for organizations to Understand, Organize, Cleanse, Optimally store, Archive and Assemble the data.

Infometry helps customers with

  • Propose a scalable Data Architecture considering all aspects of data usage, storage, cost, and frequency
  • Propose database architecture including relational, in-memory, NoSQL, and advanced techniques
  • Develop a roadmap to implement the recommendations and corresponding ROI calculations
  • Propose both On-premise and Cloud-based architecture
  • Implement the Data Architecture

Frequently Asked Questions

  • Data strategy is a roadmap that allows us to draw important business insights from the data across the mission and vision statement of the company. Based on which companies receives the answer to critical business questions and get the path wherein they ought to flow forward. But getting insights and answers is most effective the fruits of the tree, on the roots level, a data strategy defines how the data goes to be collected, stored, used, managed, and shared in a company
  • You need to speed up and streamline the making plans process, even as preventing “analysis paralysis”
  • You need to put into effect extra speedy and confidently to growth organizational trust
  • Better Reporting
  • Insightful Decisions
  • Enhanced Customer Service
  • Increased Transparency
  • More Automated Processes
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