Let’s get visual
Most humans are wired for visual learning and understanding. Very few people can pour over data tables and pick out trends or grasp big picture issues. Even statisticians and data scientists who are better equipped than most to deal with data in all its forms benefit from interactive graphical interpretations of data. More importantly, data scientists need to be able to communicate in straightforward, visual ways with broad, heterogeneous audiences.
While basic graphs and charts are excellent communicators in most cases, creating easily understood interactive graphics from complex data is remarkably difficult with applications like Excel. And, as data scales and users require predictive insights, traditional approaches and tools for data reporting often fail.
Spreadsheets can’t compete with data visualization tools
Spreadsheet applications are incredibly useful for certain types of calculations, recordkeeping, tabulation, and many other business tasks. However, they are very poor exploratory and discovery tools. Despite this limitation, they remain in widespread use in analytical settings.
Similarly, the existing graphical capabilities in spreadsheets and even some major analytics tools are far too limiting and require too much user input to enable users to efficiently visualize and explore large or complex datasets. Instead of understanding what the data is telling them about business trends, users spend their time attempting to create useful pictures.
Analytics visualization is the answer
Visualization is a natural progression for business and infrastructure analytics, delivering compelling, interactive and highly descriptive graphics that are well-suited to a variety of data types. Visualization complements standard written, tabular, and graphical reporting practices, simplifying many aspects of presenting data and delivering business insights to users. Perhaps a more important advantage of visualization, though, is that it enables exploratory analysis that is powerful enough for data scientists and offers a deeper level of communication to executive and support teams.
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Big Data and Analytics
Businesses and governments worldwide are being challenged to make sense of data and gather valuable insights from structured and unstructured data that are emerging from a variety of sources such as videos, blogs and social networking sites. To meet growing client demands in today&rsquo;s data intensive industries, IBM has established the world&rsquo;s deepest and broadest portfolio of Big Data and Analytics technologies and solutions, spanning services, software, research and hardware.Flagship Solutions Group helps clients tackle these big data challenges in virtually every industry &ndash; from public safety to healthcare, retail, automotive, telecommunications, and everything in between.As evidenced by our broad big data solutions portfolio, powered by IBM, consulting services, capabilities around cloud and capabilities around traditional software deliveries, we offer the full spectrum of analytics capabilities organizations need to handle big data and extract value from it &mdash; from descriptive, predictive and prescriptive to cognitive, including predictive capabilities that allow users to model once and deploy broadly on both structured and unstructured data.&nbsp;Effectively harnessing unique insights from big data can drive better business outcomes, helping businesses grow, attract and retain customers, improve the intimacy enterprises have with their clients and understand more about customers &ndash; how to anticipate their needs and provide more targeted and relevant marketing and services.&nbsp;Learn more by exploring our many content pieces.&nbsp;
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