Blog

  • Data Ingestion and the Data Value Chain

    Purposeful Data Ingestion: What You Need to Know About the Data Value Chain

    Previously, we discussed the three fundamental branches of analytics as well as how each one successively breaks data down into more manageable pieces. In today’s installment, let’s continue the data ingestion conversation by discussing the different components of the Data Value Chain. Let’s Get Back to Basics The Business Dictionary Online defines a value chain […]

  • Democratize Your Data

    Enabling Decision-Making at the BU Level with Analytics

    Housing untapped, raw data does little but expend additional storage and security resources. But, at the same time, accessing that data for active use is hard. Because of this, many companies have started working through their database administrators (DBAs) to try to get more from their data. However, as is the current trend, organizations are […]

  • Bias in Machine Learning

    Humans Can’t Fabricate Objectivity: The Bias in Machine Learning

    Previously, we discussed some of the pros and cons posed by machine learning. While “self-learning” computers have become the future of autonomous tech, R&D teams are still working to iron out fundamental limitations found within the technology. Machine learning was created to eliminate the constant need for human computational resources, but researchers are finding more […]

  • What is Composable Infrastructure?

    What is Composable Infrastructure?

    Inflexible architectures prevent you from having the power and scalability to thrive in ever-expanding conditions. With limited mobility, customization, and agility to speak of, modern businesses are searching for a solution that is without compromise—a technological panacea that addresses the whole of their IT needs rather than simply solving a portion of them. In short, […]

  • 5 More Unexpected Ways that Big Data Augments our Reality

    5 More Unexpected Ways that Big Data Augments our Reality

    As we mentioned before, there are seemingly limitless ways that Big Data can augment our realities, and we believe that it is important for you to understand how these analytics work behind the scenes in our everyday lives. If you have read the previous post, then you hopefully noticed the undeniable trend that runs throughout […]

  • Machine Learning Applications

    Machine Learning Applications: The Good, The Bad, and The Unrealistic

    The Latest Innovations and Controversies of Machine Learning Up until the 1950’s, computers needed incredibly detailed commands, in highly-specific languages, to accomplish even the simplest of tasks. By 1959, Arthur Samuel had developed the Samuel-Checkers-playing Program—a computer game that became the world’s first ever self-“learning” machine. Rather than pre-program his computer to tell it what […]

  • TSA Named to CRN’s 2018 Solution Provider List

    We are proud to announce that, for the second year in a row, we have been named to the 2018 CRN1 Solution Provider 500 list (SP500)! Since 1995, the SP500 has stood as CRN’s annual public listing of the top solution provider companies in North America, ranked in order by revenue. According to CRN, the […]

  • Enterprise IoT Solutions

    Not Just a Buzzword: Enterprise IoT Solutions

    Today, we return to our ongoing analytics conversation. If you are new to the discussion and want to get caught up, consider revisiting our posts on the three fundamental levels of analytics as well as the analytics implementation learning curve that the tech industry is currently experiencing. For those who are caught up, however, we […]

  • Business Data Analytics

    Real Talk About Business Data Analytics

     

    The majority of companies don’t realize that they can answer many of their business questions with the data that they already have. It’s just a question of being able to access it.” — TSA Enterprise Solutions Architect, Corey Gary

    In a previous blog post, we discussed the three basic levels of analytics—descriptive, predictive, and prescriptive—and explained how this technology is architected to break down massive amounts of raw data into more manageable, actionable chunks. With modern business data analytics, researchers and technologists no longer have to “drink from the fire hose” of raw data.

    However, it is important to establish that analytics is not simply a “wind-up-and-let-it-go” apparatus; it requires more resources than its current IT buzzword-status may have you believe. As a result, many companies are underutilizing the data at their disposal.

  • North American Partner of the Year 2018

    TSA Named North American Partner of the Year

    We’re excited to be named the North American Partner of the Year and the HPE Server Partner of the Year by Arrow Electronics, Inc. This award recognizes our outstanding sales performance and growth across the Arrow HPE portfolio during 2017. As a platinum HPE business partner, TSA offers their end customers the highest level of […]

  • 5 Ways That Big Data Augments Our Reality

    5 Ways That Big Data Augments Our Reality

    We live in the Digital Age. An age where you can’t do a quick Google search for “cheap flights to Utah” without ads for Kayak.com or Zion National Park popping up in the margins of your web browser for the next two months. And while retargeted ad campaigns can pose as mild annoyances, the insights […]