Plans & PricingSignup for Free

Standardizing Data pays big Dividends

By Telmo Silva on April 6, 2016

In today’s accelerated marketplace, dashboards give you more control, accuracy and impact to steer your enterprise wisely. But if your data sources are rife with error, complexity, and duplication, the effectiveness of your reports and insights will be degraded no matter how elegant your dashboards may look.

The value of building a foundation of sustainable, reliable data systems cannot be overstated.

When enterprise data is sourced from a variety of platforms, in a variety of applications, using a variety of naming structures, inconsistency can be expected. Data can be considered ‘messy:’ it is not consistent or organized sufficiently to be able to deliver the power and insights expected of it.

The inconsistencies may have occurred due to entry errors, corruption during transmission, or by the simple fact that different departments may use different names, field definitions or abbreviations for what is otherwise the same information. Whatever the cause, the performance of any insights derived from it will be less than optimal.

Other challenges to large data sets include having too much data to work with, ultimately causing a loss of focus on the metrics that feed actionable insights. Thirdly, data is ineffective if it is out of date and doesn’t actually deliver information that is relevant to the issues at hand.

The solution for messy data is, not surprisingly, data cleansing. The process involves detecting a variety of faults in the data, such as incomplete, duplicate, irrelevant or inaccurate data elements and correcting the errors. Once it’s run through the process, the data is consistent and uniform. Insights generated from it can be considered reliable and reports and results will be much more on-target.

2

Since your data sources are rarely clean, ClicData gives you ways to easily standardize your data before it populates your dashboards. Our Standardize and Normalize features clean your data, create consistent naming conventions and delete empty fields. About as easy to accomplish as “find-and-replace,” your data will quickly be at its most efficient.

Get the performance, security and accessibility you seek with your dashboards. Do more with ClicData.

Table of Contents

Share this Blog

Other Blogs

Data Contracts and Lineage for BI Teams: The Infrastructure Behind Dashboard Trust

Dashboards don't break because of bad charts. They break because nobody agreed on what revenue means, and the pipeline feeding it changed two weeks ago without telling anyone. That's the…

A Chart Chooser for BI Teams: Stop Guessing, Start Deciding

The wrong chart doesn't just look bad, it changes what people believe the data says. When a trend appears flat on a pie chart or a comparison gets buried in…

Why AI Fails without Data Engineering

Industry reports suggest that as many as 80% of AI projects fail to deliver anticipated value. This failure rarely stems from the AI models themselves, but from fundamental issues such…
All articles
We use cookies.
We use necessary cookies to make our site work. We'd also like to use optional cookies which help us improve our the site as well as for statistical analytic and advertising purposes. We won't set these optional cookies on your device if you do not consent to them. To learn more, please view our cookie notice.

If you decline, your information won't be tracked when you visit this website. A single cookie will be used in your browser to remember, your preference not to be tracked.
Essential Cookies
Required for website functionality such as our sales chat, forms, and navigation. 
Functional & Analytics Cookies
Helps us understand where our visitors are coming from by collecting anonymous usage data.
Advertising & Tracking Cookies
Used to deliver relevant ads and measure advertising performance across platforms like Google, Facebook, and LinkedIn.
Reject AllAccept