Visual Analytics | Logic20/20

Visual Analytics

So much data, so little time

How visual analytics cuts through the noise and turns data into a strategic asset

For most organizations, lack of data is not a problem: 24 hours a day, 7 days a week, terabytes of data are zooming through their servers at the speed of light. All that data could be put to use creating value for the business … or it could just sit there, taking up server space.

 

Data-savvy organizations know that if data is to deliver real business value, it needs to fill four criteria:

 

It has to be clean and reliable.

It has to answer the right questions.

It has to be easy to translate into action.

People have to want to use it.

 

At Logic20/20, we bring together the necessary elements to put your data to work delivering results.

 

 

Visual analytics: 3 keys to data-driven decisions

By adopting visual analytics with a three-front approach that addresses data, tools, and people, you can bridge the gap between your data and the decisions that can boost your bottom line.

 
Key #1: Analytics strategy

Even the world's best data—and the best reporting tool—will do you little good if it's not answering the right questions that lead to real-world business results.

A well-designed, well-executed analytics strategy will help you optimize all that raw data so that it can deliver insights for strategic decision making.

Key #2: User experience

It’s also vital to ensure that those insights are easy for business users to understand and to translate into action. Sites like Amazon and Wikipedia have raised the bar for user experience, even in business applications.

People expect to be served with exactly the information they need, exactly when they need it, in a format that’s instantly usable for driving decisions … or else that shiny new analytics tool will sit around gathering dust.

Key #3: Change management

Evolving into a data-driven organization requires fundamental change across multiple departments. Rolling out a BI application with a few off-the-shelf training sessions is not enough.

If your business is going to put its data to work, people must want to use data in driving decisions, and that cultural shift requires a well-thought-out and mindfully implemented change management strategy.

Featured Project

How visual analytics can streamline medical practice management

Find out how we helped a multi-specialty medical group save over 1,000 hours per year with user-customized analytics dashboards.

 

 

Read their success story

Woman frustrated with data on her computer

 

Quiz

How's your relationship with data?

 

Uncover trust issues, bad user experiences, and other signs of a bad relationship with data. Is it cheeky? A little bit, but it's a step toward building a high-quality, productive relationship with your data.

 

Take the quiz

What We Think

business people gathered around monitor

White Paper

Data literacy: top-down and bottom-up strategies for creating a data-literate organization


For data-centric behaviors and beliefs to take hold in an organization, they must be communicated, and therefore a common language for talking about data must be in place. In other words, to build a data culture—the foundation for a data-driven organization—data literacy is a foundational requirement. Learn the fundamentals for building a data-literate organization from the top down and from the bottom up.

 

Download your copy

On-Demand Webinar

How to use analytics to drive your business strategy

Watch now

Article

Creating reports people will actually use

Find out how

Resource

Create analytics assets and dashboards

Learn the dashboard design process

Article

Requirements gathering for actionable analytics

Get the 7 steps to success

Our Leadership

 

Juliana Su
Juliana Su
Managing Director, Advanced Analytics

Adam Cornille
Adam Cornille
Director, Advanced Analytics

Mick Wagner
Mick Wagner
Senior Solutions Architect

Nick Kelly
Nick Kelly
Director of Visual Analytics

 

Ready to start using visual analytics to drive better decisions? Let's talk.