The Increasing Importance of Data Visualization: An Interview with ZingChart’s Thomas Powell

PHIL SIMON | 120 views

While it has been around for centuries, never before has visualizing data been more important. It’s a key point in my previous The Visual Organization. Of course, many people understand the importance of visualizing information in innovative ways, and today I sat down with one. Thomas Powell, CEO of ZingChart. The company creates charting technology for websites and mobile applications used by corporations, nonprofits, and journalists worldwide

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Stone Door Group is a 21st century Gig Economy enterprise services delivery company. We partner with the world's best technology providers including Red Hat, Global Knowledge, IBM and others to deliver effective and efficient consulting and training services for the modern cloud economy.

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BUSINESS STRATEGY

How is Data Virtualization Shifting the Tailwind in Data Management?

Article | July 22, 2022

Over the past couple of years, a significant rise in the trend of digitalization has been witnessed across almost all industries, resulting in the creation of large volumes of data. In addition, an unprecedented proliferation of applications and the rise in the use of social media, cloud and mobile computing, the Internet of Things, and others have created the need for collecting, combining, and curating massive amounts of data. As the importance of data continues to grow across businesses, companies aim to collect data from the web, social media, AI-powered devices, and other sources in different formats, making it trickier for them to manage this unstructured data. Hence, smarter companies are investing in innovative solutions, such as data virtualization, to access and modify data stored across siloed, disparate systems through a unified view. This helps them bridge critical decision-making data together, fuel analytics, and make strategic and well-informed decisions. Why is Data Virtualization Emerging as A New Frontier in Data Management? In the current competitive corporate world, where data needs are increasing at the same rate as the volume of data companies hold, it is becoming essential to manage and harness data effectively. As enterprises focus on accumulating multiple types of data, the effort of managing it has outgrown the capacity of traditional data integration tools, such as data warehouse software and Extract Transform Load (ETL) systems. With the growing need for more effective data integration solutions, high-speed information sharing, and non-stop data transmission, advanced tools such as data virtualization are gaining massive popularity among corporate firms and other IT infrastructures. Data virtualization empowers organizations to accumulate and integrate data from multiple channels, locations, sources, and formats to create a unified stream of data without any redundancy or overlap, resulting in faster integration speeds and enhanced decision-making. What are the key features that make data virtualization a new frontier in data management? Let's see: Modernize Information Infrastructure With the ability to hide the underlying systems, data virtualization allows companies to replace their old infrastructure with cutting-edge cloud applications without affecting day-to-day business operations. Enhance Data Protection Data virtualization enables CxOs to identify and isolate vital source systems from users and applications, which assists organizations in preventing the latter from making unintended changes to the data, as well as allowing them to enforce data governance and security. Deliver Information Faster and Cheaper Data replication takes time and costs money; the "zero replication" method used by data virtualization allows businesses to obtain up-to-the-minute information without having to invest in additional storage space, thereby saving on the operation cost. Increase Business Productivity By delivering data in real time, the integration of data virtualization empowers businesses to access the most recent data during regular business operations. In addition, it enhances the utilization of servers and storage resources and allows data engineering teams to do more in less time, thereby increasing productivity. Use Fewer Development Resources Data virtualization lowers the need for human coding, allowing developers to focus on the faster delivery of information at scale. With its simplified view-based methodology, data virtualization also enables CxOs to reduce development resources by around one-fourth. Data Virtualization: The Future Ahead With the growing significance of data across enterprises and increasing data volume, variety, complexity, compliance requirements, and others, every organization is looking for well-governed, consistent, and secure data that is easy to access and use. As data virtualization unifies and integrates the data from different systems, providing new ways to access, manage, and deliver data without replicating it, more and more organizations are investing in data virtualization software and solutions and driving greater business value from their data.

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BUSINESS INTELLIGENCE

How Artificial Intelligence Is Transforming Businesses

Article | July 28, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives.AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity.However, AI has not only transformed administrative processes and freed up more time for companies, it has also contributed to some ground-breaking moments in business, being a must-have for many in order to keep up with the competition.

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BIG DATA MANAGEMENT

DRIVING DIGITAL TRANSFORMATION WITH RPA, ML AND WORKFLOW AUTOMATION

Article | July 11, 2022

The latest pace of advancements in technology paves way for businesses to pay attention to digital strategy in order to drive effective digital transformation. Digital strategy focuses on leveraging technology to enhance business performance, specifying the direction where organizations can create new competitive advantages with it. Despite a lot of buzz around its advancement, digital transformation initiatives in most businesses are still in its infancy.Organizations that have successfully implemented and are effectively navigating their way towards digital transformation have seen that deploying a low-code workflow automation platform makes them more efficient.

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AI and Predictive Analytics: Myth, Math, or Magic

Article | February 10, 2020

We are a species invested in predicting the future as if our lives depended on it. Indeed, good predictions of where wolves might lurk were once a matter of survival. Even as civilization made us physically safer, prediction has remained a mainstay of culture, from the haruspices of ancient Rome inspecting animal entrails to business analysts dissecting a wealth of transactions to foretell future sales. With these caveats in mind, I predict that in 2020 (and the decade ahead) we will struggle if we unquestioningly adopt artificial intelligence (AI) in predictive analytics, founded on an unjustified overconfidence in the almost mythical power of AI's mathematical foundations. This is another form of the disease of technochauvinism I discussed in a previous article.

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Stone Door Group

Stone Door Group is a 21st century Gig Economy enterprise services delivery company. We partner with the world's best technology providers including Red Hat, Global Knowledge, IBM and others to deliver effective and efficient consulting and training services for the modern cloud economy.

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Importance of Interactive Maps in Big Data Space

CIOReview | August 27, 2018

The primary purpose of an interactive map is to offer the ease of visualizing data to the user in a simplified manner. These flexible, web-based mapping tools possess points which, when clicked display the detailed relevant information. The information can be in the form of pictures, numbers, external links, videos and the like. Besides, interactive maps comprehensively organize all forms of data, be it hierarchical, straightforward, relational or singular. Interactive maps have taken an essential position in the process of data visualization. Only a few years back, data scientists were unable to handle huge volumes of data. However, with the introduction of interactive maps, they have now found the ultimate way to visualize tons of information in the quickest way possible.

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Importance of Interactive Maps in Big Data Space

CIOReview | August 27, 2018

The primary purpose of an interactive map is to offer the ease of visualizing data to the user in a simplified manner. These flexible, web-based mapping tools possess points which, when clicked display the detailed relevant information. The information can be in the form of pictures, numbers, external links, videos and the like. Besides, interactive maps comprehensively organize all forms of data, be it hierarchical, straightforward, relational or singular. Interactive maps have taken an essential position in the process of data visualization. Only a few years back, data scientists were unable to handle huge volumes of data. However, with the introduction of interactive maps, they have now found the ultimate way to visualize tons of information in the quickest way possible.

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