Get Even More Visitors To Your Blog, Upgrade To A Business Listing >>

Practice Data Driven Approach For Better Productivity

Data may be the most debated term in recent times. In fact, it has become the most significant term for every businesses in a quick time frame. World has gone digital and digital business is all relied on data. From small businesses to industry leaders, every one crave for data and is trying their best to get more. Data has influenced several aspects of business, but how about productivity? Data and Productivity being two different poles of business, how could it be related? Let’s take a look at some facts regarding the connection between data and productivity.

How Connected Is Data And Productivity To Each Other?

Data basically is very effective in analyzing Employee performance and workload. When it comes to marketers, data can be so admirable that they can closely monitor their efforts and consult with a few easy-to-use dashboards to see if leads generated turned into conversions (Salesforce, Google Analytics). Obviously you will be aware about the term Big data. Like the name suggests, its narrates the huge quantity of data. While we consider this in term of Employee, Big data is all about employee information and confidential business data. This data on employees help managers to better understand how their employees spend their time. Data such as recruitment files, personnel records, performance analysis, training and development reports, are added to databases every moment. This ultimately will have an impact on decision making.

Make Use Of Data TO Analyze Your Efforts And Revenue It Generated

Data analysis is the core part in generating profit. In fact, it is so useful for employees that it may help them analyse themselves. In order to achieve more productivity, you need to understand the results of your existing working strategy and further improvise. Consider this situation when your boss asks you, how things are going. Instead of providing a general response, you can reply with precise data that reflect the outcome of your efforts. This type of data-driven answer will prove to your boss that you don’t only care about checking off boxes, but you’re also committed to bolstering the company’s revenue goals.

Use Data To Track The Time Consuming

A lot of us are afraid to disclose the exact time we spend on some task. We may utilize our first 30 minutes in office to go through some news but are afraid to admit that. With enough data to track your activities and time spending on each, you will get a clear cut idea on how to manage your time more efficiently and productively. Productivity can be improved through this data Driven Approach more efficiently than any other means.

You can always rely on  tools such as data analytics to actually find out areas wherein employees need to showcase improvements or decide on the best benefits that meet employee needs and expectations. Moreover, one can use predictive analysis to predict employee’s behaviour, talent attrition, voluntary employee turnover and understand decision-making processes. By identifying the defects and flaws through this, one can sharpen their strengths, work more on their weakness and thereby improve the turnover and productivity.

Final Words

Even though I have mentioned certain data driven productivity tips, there are still several factors that cannot be measured. Things like teamwork, collaboration and positivity cannot be measured through these methods. Of Course, you can understand those by yourselves, no need to measure those. But, my point here is, without these core qualities there is no point in considering any of those above mentioned points. Because you will always lag behind without those.

This post first appeared on Using 10 Productivity Tips For Busy Tech Professional, please read the originial post: here

Share the post

Practice Data Driven Approach For Better Productivity


Subscribe to Using 10 Productivity Tips For Busy Tech Professional

Get updates delivered right to your inbox!

Thank you for your subscription