With loads of data generated at customer touchpoints, the need for efficient handling and storage of data is of utmost importance like it was never before. Enterprises can swiftly transform data-related challenges into exciting opportunities with intuitive BI implementation and support services. The continuously evolving Data Warehousing landscape implies calls for Best Practices and tools across data storage, backup, recovery, and data security.
Business Intelligence: The Practice
From a business standpoint, becoming a data-driven enterprise does not happen overnight. It requires deep expertise and readiness of professionals for having a fundamental grip on the ins and outs of analytics. Modern practitioners are skilled at making the most of numeric and quantifiable properties to help firms pursue data-centric automation.
- Make a business sense of day-to-day data to support real-time business decisions
- Informed decisions with BI-driven insights offer companies an edge over rivals
- Measurement of performance against business goals to plan a corrective action
BI Offerings for Global Enterprises
With end-to-end BI implementation and support, organizations can handle and make use of large chunks of data which is otherwise difficult. Proven expertise to handle and operate on large datasets with appropriate BI tools will help you leverage the most operational and functional benefits.
Our DW and BI solution and services help you make sense of large amounts of historical data for analysis and business decision-making. It allows you to rapidly collate data around real-time operations across the globe – and potentially save costs and help business users with real-time agility to segregate information.
Forecasting
The algorithm can also scale up to perform what-if analysis and create intuitive forecasts by identifying trends and patterns – involving key segment correlations or data points for anomalies. A Data Scientist could then possibly spend minimal effort having automated the complete set of steps or operations that follow.
Set up a common variable that the algorithm would treat as the focus parameter – for instance, revenue. Based on the focus parameter, the algorithm will return with all forms of segment correlations and value drivers for the right trends and potential predictions.
Data Storage
For quick analysis and decision support, we help map data from different elements and various sources of data-generation to build a Data Warehouse. Our experts work around a comprehensive Data Warehousing architecture to accommodate large amount of data with a well-defined and secure options for storage and retrieval. A continuous schedule of security checks would protect the data from any kind of loss or vulnerability.
Modern BI platforms deliver a wholesome experience with a degree of inclusiveness to take care of the following:
- A stable BI relies on data integrity and completeness, as conflicting permissions might cause data silos.
- Subscribers might revert to Excel or a typical SaaS model to switch seamlessly across enterprise tools
- Swift dashboard and interface elements equipped with user-friendly menu items for data visualization
- Ease of end-user training to make the complete use of modern BI tools across functional requirements
- Data capture and storage processes that also enable validation functions and data integrity checks
Kastech has built a capable CoE with niche expertise in BI and Data Warehousing for a range of complex requirements that cater to a host of business verticals,
- Timeliness: Keep track of transactional data 24/7 to spot obvious patterns or data anomalies as they occur
- Scalability: Upgrade traditional reporting to the next level of analytics with intuitive data visualization tools
- ETL Tools: A framework for data extraction, transformation, and loading processes that also preserve data consistency and integrity
- Architecture: We recommend improvements to the Data Warehouse and enhancements in schema or tuning
Advanced Analytics
Kastech Group has evolved its Data Analytics model to differentiate its offering from peers. Artificial Intelligence offers the capability for finely drilled insights with an upscaled capability. Our model offers enterprise-wide analytics rendering powerful business-class capabilities with minimal effect on the underlying process.
- Data Analytics as a Service model for every domain
- A client-centric Dedicated Account Management
- Seamless Transition with a swift Knowledge Transfer
Enterprises are looking for data-centric solutions that could cut costs and operational overheads. For instance, a BI platform lets its users view all of their data in a single location. It calls for creative ways to visualize large amounts of data including dashboards, charts, and other data visualization formats such as bars and bubbles. It offers ease of data interpretation and inference across the board – from technical and functional teams to operations and field executives.
