Data Strategy
and Architecture
Trusted by leading companies to design, build, and manage data-driven solutions.
Why CYFRTEK
- 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
CYFRTEK 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.
CYFRTEK 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
What is in a data strategy?
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
Why data strategy?
- 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
What are the Benefits of data strategy?
- Better Reporting
- Insightful Decisions
- Enhanced Customer Service
- Increased Transparency
- More Automated Processes