Importance Of Data Cleansing Before Data Analysis

Importance Of Data Cleansing Before Data Analysis

Data cleansing is an important pre-requisite to data analysis and one of the most basic methods of effective data management. Most businesses accumulate tremendous amounts of customer data, market data or operational data over time that may godown the path of redundancy, thus compromising on data quality in a big way. Consider a customer changing their phone number, address or even the spelling of their name over a decade, and your dataset having multiple such entries tracking back to the same person. Needs a closer look, doesn’t it?

Compromised data quality can dig a big hole into your analyses findings and drive skewed business decisions.That’s where the importance of consolidating, updating, correcting and filtering your data plays a big role. Here are some important benefits of data cleansing that should encourage you on the path to establishing sound data management practices in your business.

Avoid Costly Errors

Poor data compilation practices, shoddy formatting or inaccurate filtering mechanisms can cost your organisation big. The foremost step to making the right business decisions is amassing good quality data that leads you to these decisions.

Boost Employee Productivity

Inferences drawn from clean datasets lead to achievable, directed and quantified business goals. These goals are instrumental in driving your workforce to meet targets and eventually realise these business goals. This entire chain of action starts from working with a good dataset.

Synchronise Efforts of All Business Channels

Amassing data across verticals, teams and channels of sales helps tie together your entire workforce together. This helps synchronise their efforts and complement each other’s efforts. Undeterred data flow to a single repository is basic to this workforce unity.

Data analysis and business intelligence are at the crux of organisation success. To begin your journey into the realms of data analysis and dashboarding, get in touch with our experts to learn more about Microsoft Power BI and its role in efficient data management.