With the advent of digitalization, a huge amount of data is being generated on a daily basis. This data is paramount in terms of making data-driven business decisions. The data can be customer data, marketing data, employee data, project data, operations data, sales data, etc. This data, when analyzed using Business Intelligence tools, example Hevo Data which generate useful insights that you can use to make business decisions with great efficiency.
Any business seeking substantial growth and enhancement of customer satisfaction should set up Operations Analytics within their organization. Operations Analytics will help you make decisions on the go with the help of real-time data. In this article, we will discuss Operations Analytics and how you can set up Operations Analytics in your organization.
Contents
Understanding Operations Analytics
The process of generating actions from real-time enterprise, machine, log, and application data is called Operations Analytics. This is still a new concept for some organizations. Operations Analytics includes gathering and aggregating real-time data, performing analysis on the gathered data using Artificial Intelligence, Machine Learning, and various other technologies, generating insights from the analysis, and taking immediate actions based on the insights generated. Operations Analytics will give you a 360-degree picture of your organization. Operations Analytics bridges the gap between physical machines and IT layers in your organization.
Operations Analytics is a non-traditional process that can be used for Data Center Infrastructure Management. Operations analytics can automate the management and alert you whenever an action needs to be taken or there is an issue that needs attention. This inadvertently leads to less staffing for management, regular reporting, better utilization, and monitoring.
Benefits of Operations Analytics
Before discussing setting up Operations Analytics let’s understand how Operations Analytics is beneficial to your organization:
- Provides high visibility of entire organizational data to everyone in the organization.
- Provides information about real-time infrastructure health.
- Helps in effective decision-making while operating and optimizing infrastructure.
- Fast error detection and action.
- This leads to the implementation of best practices by everyone in the organization.
- Always back decisions based on data.
- Better streamlining and automation of processes.
- Improved capacity and resource utilization.
- Overall improvement in efficiency.
- Increase in profits.
Challenges Faced While Setting up Operations Analytics
Increase in System Downtime
Since all the decision-making will be based on data stored it is important to maintain high-quality data. Maintaining this will decrease the availability of the warehouse and increase downtime. So when setting up Operations Analytics it is important to take measured to decrease downtime.
Time Taken for Initial Setup
In order to implement tracking and managing the data, every single asset in the organization needs to be added to the system (For example hardware like printers, PC’s, employee laptops, routers, etc)
Implementation
Facilitation of hardware monitoring is needed. Also, all the employees in the organization need to be trained to understand Operations Analytics and incorporate it into their roles.
Setting up Operating Analytics in Your Organization
Step 1: Research
Before deploying Operations Analytics in your organization, you should determine the current operations scenario. Try to identify shortcomings and set goals about what you want to achieve using Operations Analytics(for example server management, inventory management, asset management, etc.). After identifying the issues and goals try to identify ways to achieve those goals. Basically, you would be brainstorming for ways you can manage enormous data(ex: using Big Data technologies because you have to deal with unstructured data too).
Step 2: Gathering and Aggregating Data
In this step, you need to make sure you are aggregating data from assets, logs, servers, applications, customers, social media, etc and aggregate them all to get complete visibility of your data. Examine these data aggregation methods and make sure that your data is accurate. You can also use ETL tools that help in moving your data from one place to another. Some ETL tools available are Hevo Data, Fivetran, Microsoft SSIS, etc.
Step 3: Perform Analysis and Gather Insights
Once you are sure you have gathered all possible data in your organization, think about the ways you can analyze data. Think about what data needs to be analyzed for achieving a particular goal. Try to implement these on a regular basis on real-time data.
Step 4: Take Actions based on Insights
For example, let’s assume that the data you have analyzed shows that you have incoming stock into your storage warehouse and there is a chance that the storage might be insufficient. Now you can direct the stock to another warehouse or postpone the incoming stock. You can automate this so that it takes action whenever there is a chance your storage Warehouse may run out of capacity.
Similarly, try to estimate the conditions that will need attention and automate them. If there is a malfunctioning asset, you can immediately act on repairing it because you have real-time data alerts.
Conclusion
In this article, you learned about Operations Analytics and how to set it up. The earlier you set Operations Analytics in your organization, the easier it is to sustain yourself in the competitive market landscape. Though during the implementation you may face some challenges it is all worth it in the end. Once you set Operations Analytics up in your organization you will experience the amount of resourcefulness and efficiency it brings to your organization.
