The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.
Don’t you hate it when someone blurts out a mysterious term at a business conference and you are left to decide whether to reveal your ignorance by asking what they are talking about, or simply nodding your head and smiling as if you understand and agree? I hate it when that happens.
Perspective is everything. You can stare at numbers and columns all day and never see the one nugget of information that will give you insight and help you solve a problem or find that one opportunity to drive the business to the next level. When you and your business users can leverage augmented analytics tools, without worrying about complex algorithms or writing code or designing reports, you can find those elusive nuggets of information and use them to improve your business results.
All the data in the world can’t help you improve your business results unless you can sift through it and see it in a way that tells a story – a story that leads you to a conclusion, helps you solve a problem or allows you to see how your business can grow, change and succeed. Columnar reports and a sea of data are a barrier to insight. But, that doesn’t have to be YOUR problem.
One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When business users adopt true self-serve BI tools like Plug n’ Play Predictive Analysis, Smart Data Visualization, and Self-Serve Data Preparation, they can apply the domain knowledge and skill they have developed in their role to create reports, analyze data and make recommendations and decisions with confidence.
If you want your business users to have access to analytics tools that are easy enough for the average user to understand, you will want to select augmented analytics that are easy to use with guidance and recommendations to help the user achieve the results they want AND help the user understand those results once they finish the analysis.
Data visualization may not seem important, but the way you see data can provide additional insight or it can muddle the picture to the point where you will miss critical issues or opportunities. The importance of data visualization is even more evident when that data is being analyzed by business users who are not likely to see data in an analytical way and probably do not have the knowledge or skill required to change visualization techniques to accommodate a particular type of data.
Visual Analytics tools enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities and make sense of data from all sources, with a guided approach that allows users to identify patterns and trends, and quickly complete analysis with clear results.
What on earth is smart data visualization? Is it a computer that actually ‘sees’ data for you and does the analysis? Not quite. Sorry to say that even with advanced analytics that provides smart data visualization, you will have to do SOME work, but fortunately, you will not have to guess!
Smart Data Visualization is a crucial component of augmented data discovery. This critical feature enables sophisticated analysis with guided visualization tools that auto-recommend displays and data views based on data type, volume, dimensions, patterns and nature of data.
