Automation: Doing more with less
Think about how much data you have across all sectors of your company. Now imagine if all that data was automated.
Automated solutions can improve your business intelligence especially when you are dealing with a whole lot of data spread across your organization.
With a more streamlined data analysis process, important opportunities can become apparent, introducing agility to big data analysis and increasing your company’s business intelligence and competitive edge.
Automated data analytics compile data from different sources and convert them to the same format, “preventing new silos from forming and making the most up-to-date data accessible to everyone who needs it.”
Data is everywhere and more information about trends in consumers’ habits and preferences is available now than ever before. And so, automated analytics is the key to unlocking the value of big data.
But what can this data be used for? How can automating its analysis help your organization? Why analyze data at all?
Before answering these questions, you first need to understand that big data isn’t simply about quantity. It refers to data that comes from multiple sources, exists in many forms and requires different types of analysis to gain insights from.
Think about the combination of your payroll data source with your CRM or ATS’s data sources, and include your marketing or sales analytics in there too. You have various data sources in which your data is stored, and together, we call that big data.
The collection, combination, and storage of big data present revenue-raising opportunities for businesses that can harness it to understand the status of their organization in near real-time.
Not only are you able to monitor the effectiveness of marketing campaigns but also forecast areas of growth.
You jump from reactive business decisions to being proactive and predictive analytics.
“To analyze this explosion of data, organizations need tools that are robust, reliable and capable of being automated.” As mentioned earlier, predictive analytics tools can manage big data, measure current trends and see where they might be heading, providing valuable insight for business leaders.
What you need to know and start making common practice in your business is automating data because essentially, it allows you to keep track of the many data sources you have so that you don’t waste time working with bad, out-of-date, or incomplete data. And, you not only eliminate the time consumption and errors in manual analysis but also keep the data analysis process running without a hitch so you can get straight to the data to reveal actionable insights.