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Boost Visual Analytics Dashboard User Experience with Parameters

Advanced analytics, business intelligence (BI), and the data that drives them are largely unused by the organizations that invest heavily in their promise. Industry insiders and analysts took notice of these trends and have reported on them regularly in recent years. According to Gartner, 97 percent of organizational data goes unused, and 87 percent of organizations have low levels of BI and advanced analytical maturity.

Many factors contribute to these challenges, and we're not going to pretend that we know them all or that there's an easy fix. Yet, our users have shown us that enhanced usability and a focused approach to analytics dashboard software can improve application stickiness.

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Shareable Data Analyses Using Templates

Photo by Joanna Kosinska / Unsplash

Our friend Benn Stancil recently wrote a great post about templates—his term for sharable, pre-built dashboards and reports. Do yourself a favor and read it. The basic idea is that shared, reusable analyses for data has been a pipe dream for years and aren't yet on their way:

Even though our data is the same, and our companies are the same, there’s no one-click way to spin out an entire suite of dashboards

Templates do seem inevitable: the concept of reusable code is something software developers have relied on for literally decades. It's fundamental to how all software is built. The data community has been borrowing best practices from the software world since the beginning, from version control in Git to staging environments to testing. But we still can't use their single most powerful technique.

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Data Democratization and How to Get Started?

Today data is an important factor for business success. In every business, it has been observed that data is playing a game-changing moment to improve business performance.
Data is important and necessary in this increasingly competitive world. It is essential for companies to help maintain a competitive edge so that they can help reduce costs and grow profitable sectors that they have disappeared from.
Data comes in large volumes everywhere and in complex structures. It became complicated to understand. Being able to understand data is the preserve of longtime, highly paid data scientists and analysts. The idea of helping everyone to access and understand data is known as data democratization.

In this blog, we have introduced the features of data democratization that a business can adopt to overcome these challenges and establish an enterprise-wide data democracy.

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Smarter Analytics Dashboards With Automation and Machine Learning

Like any other tool in software, analytics dashboards are abstractions. They allow data scientists, analysts, developers, and statisticians to make it as easy as possible for non-experts and peers to gain insights from data. This allows everyone to collect important data and business intelligence without having to put in the additional effort usually required for collecting those insights in the first place.

For those, like me, without a strong understanding of statistics, this means not having to pour over a textbook for a few months just to figure out if a trend is significant or not. For others, this means not having to repeat the same process of collection, processing, cleaning, and analysis to acquire the same insights.

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What CDOs and CAOs Struggle With Most

Our team recently attended the Chief Data & Analytics officers (CDAO) conference in Boston and used the opportunity to conduct an informal poll. The conference wills packed with C-suit executives trying to wrangle big data at companies like Tesla, Lionsgate, AMD, Capital One, and Ford. We asked everyone about their analytics challenges. There were two standout issues that we kept hearing about again and again.

1. Their data scientists get bogged down with data access challenges

A recent study showed that data preparation and data engineering tasks represent over 80% of the time consumed in most AI and Machine Learning projects.