All You Need To Know About Data Discovery And Visualization Platform

The greatest swindle one can witness today is in the based-on-true-events Netflix series, Inventing Anna. It took everyone by storm! After all, who doesn’t want to know how an influencer wannabe, Anna Sorokin, conned the upper crust of New York City by making them believe that she was a German heiress with the name Anna Delvey? She received thousands of dollars in cash, goods and services while working towards her goal to begin an exclusive art-themed club for the elite. Don’t you think such people would have saved themselves from being conned if they had gathered some real data about her instead of simply believing what she said at face value?

Not only is this true in Anna Sorokin’s case but also in organizations as they need to gather relevant data from multiple sources and analyze it thoroughly before making a decision. We know that in today’s data-oriented world, where terabytes of data are freely available, it must be extremely difficult to discover as well as analyze relevant data. Worry not!

Data Discovery And Visualization Platform is here to your rescue! This software analyzes multiple data sources and provides data analysts with an intuitive way to visualize the large volume of data to help them make informed decisions. The cherry on the cake is the visualization feature that helps end users to identify patterns visually before conducting rigorous analysis.

Join us as we take you on the journey of what, when and how of the Data Discovery And Visualization Platform!
 

What Is Data Discovery And Visualization Platform?

The one thing that we all have learned from the case of Anna Sorokin is it is imperative to discover facts on your own. Holding on to that thought, let’s first learn about data discovery. It is the process of analyzing and collecting data from various sources to find anomalies, trends and patterns within the data. You can use the information gained to improve your business processes and position yourself as a standout in an already saturated digital environment.

Enterprises have traditionally relied on Excel spreadsheets, self-documentation and data analytics to perform data discovery. However, the process was inefficient and took a lot of time and effort resulting in limited insights due to human error and an individual’s lack of data knowledge. Thus, this directed the need for Data Discovery And Visualization Platform.

Business users and analysts can use this platform for ad-hoc data analysis to visually expose patterns and outliers hidden in data. This platform gives data analysts an easy way to visualize data without expensive hardware or IT support. Another factor that makes these tools popular is that it needs a minimal amount of analytics knowledge to discover and visualize basic insights. Naturally, this gives a huge boost to business intelligence across the enterprise.

Now, let’s dig deeper into the past of this platform to know how it evolved.
 

Evolution Of Data Discovery And Visualization Platform

In the 1960s, data discovery was compared to the gold rush for its rapid growth. Statisticians and economic analysts referred to this process as data fishing. It is a negative term that referred to the blind nature of early data mining without a predetermined inference.
The process gained popularity in the 1990s when database professionals began relying on data mining and analysis to enhance performance. With the building of the First International Conference on Data Mining and Knowledge Discovery (KDD - 95) in Montreal in 1995, data discovery became a major focus for academic research.

In the past few years, data-driven decision-making and machine learning algorithms have emerged following the explosion of big data. As a result, data discovery has gone from an academic exercise to a necessary business process. To fuel intelligent decision-making, virtually every industry and institution uses data discovery.

Data analysts also realized that discovering and analyzing data is quite tedious. Displaying the data in more digestible formats led to faster and more accurate insights. Thus, Data Discovery And Visualization Platform was developed. This helped businesses and analysts discover relevant data and visualize it in graphs and charts for easy analysis.

Now that we are clear about its origin, it’s time to know how it works. Read on!
 

Working Of Data Discovery And Visualization Platform

 
Here are the steps involved in the working of the Data Discovery And Visualization Platform:
 

• Step 1: Identify The Needs

  Having a clear purpose before beginning data discovery is crucial. This also means having no preconceived notions about the insights and how they will look.

• Step 2: Combine Data From Relevant Sources

  Combining and integrating data from multiple sources is crucial to create an effective data discovery strategy, as no single data stream conveys the entire history. This process is also called data crunching.

• Step 3: Cleanse And Prepare The Data

  Data clean-up and preparation for analysis are the most heavy-lifting aspects of data discovery. Organizations can benefit by removing noise from their data and obtaining more clear insights from their analyses by doing this.

• Step 4: Visualization Of Data

  Data visualization is the most effective way to grasp the significance of the information it conveys. Whether as a chart, data flow diagram or dashboard, data visualization enables those without academic training to grasp the connections between various data streams intuitively.

• Step 5: Analyze The Data

  Business leaders can then solve operational riddles by gaining a complete picture of the company’s operations by integrating, visualizing and analyzing the information.

Well, New York City's elite learned the hard way about the potential benefits of discovering facts for themselves. However, you don’t need to struggle with that. The next section elaborates on the benefits of the Data Discovery And Visualization Platform.

Benefits Of Data Discovery And Visualization Platform

The series Inventing Anna made us realize that data in any form is valuable. We mean, it was eventually the article written by the journalist Vivian Kent that revealed the true story of Anna Delvey/Sorokin. Similarly, Data Discovery And Visualization Platform help you discover what’s true and what’s not. Here’s everything it had to offer:

 

• Automatic Data Classification

  Enterprises gather data from thousands of sources every day in new formats. Data Discovery And Visualization Platform allow you to classify and unify this information based on the condition, channel and context in which it is collected.

• Real-time Data Controls

  You can use data discovery techniques to apply specific actions to your data, such as predefined controls. This gives you actionable and real-time control over the organizational data and the insights that come from it.

• Improved Compliance And Risk Management

  When data is cleansed, prepared, visualized and analyzed regularly, it enables quicker identification of compliance and risk. This helps businesses improve their GRC (governance, risk and compliance) strategies for data management.

• Democratized Data Insights

  This platform makes sure that the data is not only understandable to the IT experts and data analysts but also to non-technical personnel such as HR, sales and administrative professionals. The platform enables easy access to data insights across the enterprise!

Wait, we are not done yet! Don’t you want to know what this platform holds in the future?
 

Future Of Data Discovery And Visualization Platform

Mathematician Clive Humbly once said that “Data is the new oil.” This analogy has been proven right as data is the most valuable asset any industry has today. With the growing volume of data, we are expecting that Data Discover And Visualization Platform will be fully integrated with technologies such as Artificial Intelligence (AI) and machine learning. This integration will provide the power to this platform to automatically find, visualize and narrate findings that may be of interest to the user. Not only this but with such integrations, these tools will automate everything from finding correlations and exceptions to making predictions and forecasts. #WillTheDodgersWinThis Season

We also expect that in coming years, technologies such as voice search and Natural Language Processing (NLP) will help users to discover data faster. This will speed up the process of analyzing, visualizing and decision-making in an organization. Data Discovery and Visualization tools that include NLP capabilities will be easier to use for augmented data discovery and will also make data analytics more democratic across the stakeholders. Bright things lie ahead!
 

The Wrap-Up!

Data is a key source of competitive advantage; no one can deny that. After all, data has the power to run a business. Data Discovery And Visualization Platforms make data more accessible and useful to businesses. These solutions help you find the right data faster, visualize it better and identify key insights easily and creatively.

Moreover, interactive visualizations mean anyone can explore the data; these solutions aren’t just for data analysts or other technical users. We hope that we helped you in understanding the importance of Data Discovery And Visualization Platforms!