Business leaders today find themselves in control of massive data banks that they can access at the click of a button. A lot of data flows in from the different tools used in running of a business such as CRM software, payment gateways etc. But this wealth of information may not always help find the right answers unless you know what questions to ask.
This leads to investment in data analytics – the science of inspecting, cleansing, transforming and modelling the data to uncover useful insights to support decision making. But often, we find the sheer immensity of the data hampering data analytics efforts or delaying critical business decisions for lack of relevant insights. And so, the need arises for automation of data analytics. The use of emerging technologies such as artificial intelligence and machine learning to streamline data analytics efforts for repetitive tasks such as data discovery, data preparation, data replication and data warehouse maintenance.
Automation of Business Analytics
Automating business analytics refers to the use of computer systems to perform analytical tasks with little or no human efforts. This helps in analysing significant amounts of unstructured information in big data within seconds. The process of data modelling and processing can also be expedited using automation in data analytics.
Automation in business analytics can combine the data from various sources to bring you insights that can empower you to take timely, actionable decisions. Data analytics may help draw insights, but automating the process can lend business agility like never before. Automation of business analytics draws out the hidden opportunities and problems that you didn’t know existed in your business data.
Benefits of Automation in Business Analytics
- Useful for Analyzing Big Data – Automation in big data analytics increases the scalability of big data technologies. It allows for processing, analysing and understanding vast amounts of data in a few weeks.
- Speedy Analytics – Automation can help data scientists perform analysis more quickly and accurately, as it eliminates the need for complicated and time-consuming manual data processing tasks.
- Reduce Costs – Reduce operational costs and improve the efficiency of your business data analytics with automation and machine learning.
- Time-Saving– Save significant employee time by using automation and machine learning in business analytics. This allows data scientists to focus on analytical tasks which require human ingenuity or imagination.
Empower your data science team with automation and machine learning in business analytics. Choose rule-based tasks, and frequently done as a part of a stable business process to automate, such as basic reporting and business intelligence. This frees up analysts and data scientists to focus on more productive work like surfacing new insights from the data, adding new data sources and expanding the scope of analysis.
The reason why more businesses are using automation and machine learning to empower their business analytics is more than apparent. It makes business data more accessible, cost-effective and more comfortable to understand without letting it overwhelm the business leadership. It also helps free up a data scientist’s time to find the right insights to guide data-driven decision-making. Automation and Machine Learning in data analytics are steps in the right direction for improving data science in imminent times.
