A substantial quantity of knowledge generated from various sources i.e., processes, employees, and customers will leave businesses swamped if it is not managed and leveraged strategically. Firms that may extract accurate insights by correlating such knowledge can optimize their operations at a larger scale, thus achieving improved business performance and productivity levels.
Data Analytics (DA) is a broader umbrella that includes Business Analytics but also sometimes incorrectly referred to as Business Intelligence (BI). Business Intelligence refers to the Information required to enhance and improve business decision-making abilities. Business intelligence (BI) is the process of collecting, storing, and analyzing data from business operations. This process provides comprehensive business metrics, to support decision making. You can use this information to create benchmarks, spot trends, increase compliance, and identify and improve aspects of your business that need attention.
Data Analytics (DA) refers to the practice of using your company’s data to anticipate trends and outcomes. DA in includes data mining, statistical analysis, and predictive modeling that help make more informed decisions. The major difference between BI and DA is the questions they answer. DA focuses on predictive analytics and BI focusses on descriptive analysis.
In the modern digital age, the customer needs are dynamic and changing rapidly. It is a necessity to quickly identify if the customer needs have changed. For this you need data, and a means and method to process this data into actionable insights which is basically identifying the most relevant needs of your customers. This is where Data Analytics, Business Analytics, Business Intelligence can help.
Some of the use cases that has helped our customers include:
At Blu Cocoon, our technology solution experts provide comprehensive technology solutions that are precision-built to your enterprise’s unique needs and mission. Helping to explore, deploy, and manage innovative systems that address your requirements in Custom Apps, Integrations, Legacy Modernization, Business Analytics, Artificial Intelligence etc. designed for specific business units or for the enterprise
This step includes breaking the ice and meeting with the key personnel within your organization. The purpose of the meetings is to collect data requirements of all the relevant stakeholders including the top management, IT department, business consultants, and support departments.
Once all the data requirement has been documented the next step is to develop a project implementation plan. This will include identifying the business objectives, setting up the KPIs, laying down the deliverables, designing an implementation and user adoption plan, and allocating the resources.
The layouts are designed in a way where data is displayed in an effective manner. In addition, the team develops a centralized BI system and ensures the ETL process is smooth. This step also includes setting up data security protocols and data quality management systems.
User testing is conducted to analyze the solution and identify any missing gaps. Once the testing is done, our team ensures the solution is deployed in a seamless manner so that existing systems and operations are not disrupted. Following the deployment process, we conduct training sessions with the relevant teams within the organization. Once the training is complete the users will be able to the BI solution in an effective manner.
After the deployment of our BI solution, the next step is to monitor the systems closely and ensure it is working at the optimum capacity. Our team will be available to deal with any unforeseen situation and provide post-deployment services as per your need.
We strive to understand the market trends in the segments that we are active in, we realize the fast changing nature of technology and stay informed so that our customers do not have toView All Topics
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