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Avnet bloggers share their 2017 IT New Year’s Resolutions

It’s been a running gag on the internet that 2016 has been a trying year; thankfully it’s over and 2017 is upon us. Last year we recommended some New Year’s Resolutions to help slim and trim your IT environment – this year we opened it up to some of our regular blogger and asked them one question: What is your 2017 IT New Year’s Resolution?  Tim Camper, Sales Director "My 2017 IT New Year's Resolution is to avoid creating any more three-letter acronyms. I appreciate when things are easy to remember and acronyms do help my team and me to talk or write about products or solutions, but sometimes having all this lingo can be too much 'IT speak' and can get confusing."  Alisha Robinson, Demand Creation Specialist "My 2017 IT Resolution is to be more involved on social media. Specifically, I want to learn how to meme and hashtag with the best of them!" 

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Thinking without limitations – this is the art of the possible with big data and analytics

​The "art of the possible" refers to thinking outside the box, or rather, not thinking within the constraints of one's current capabilities. In the context of big data, the art of the possible involves asking: If you could have the answer to any question you wanted, what would it be?​ Not too long ago, that would have been more of a wish than reality. But in the era of big data, many questions can be answered if you know how to distill meaningful information from the vast ocean of data available.​ The company would need to know a plethora of details to gain an in-depth understanding of its customers’ behavior in a variety of use cases. 

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Harnessing big data in the healthcare industry: Learn how to get started

​​Big data has become a hot topic. Yet, companies are all over the map in terms of understanding what big data is and how they can harness it to optimize their business processes and innovate within target markets. Big data adoption follows a classic maturity curve. After seeing specifi­c and measureable benefi­ts realized by early adopters, an increasing number of companies want to put big data to work and those in the healthcare industry are no exception. The problem is they don’t know how.The future impact of big data remains to be seen. What we know today is that big data allows for more accurate analyses that empower more con­fident and strategic decision making. Better decision making means developing greater process ef­ficiencies, cost savings and risk reductions.

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Modernize your analytics approach with contemporary big data tools

The continued globalization of business is driving companies of all sizes to further innovate to maintain their competitive edge. Most companies are in need of resolving outstanding issues within their computing environments including problems resulting from outdated legacy systems like sub-optimal speed, scale and unification of storage. Why are so many companies lagging? Some don’t have the analytical tools or the modeling capabilities they need to understand their deficiencies and to map out a data modernization plan. Many large organizations also have integration issues resulting from multiple disconnected legacy systems. Attempts to bring disparate data sources together into one system usually creates a backlog of integration efforts, exacerbated by the difficulty of connecting to older data sources and mapping varying data fields into unified data sets. ​

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What’s the most important question to ask big data? It’s not the one you’re thinking!

Several things need to happen before you can start to pull meaning from raw data. First, the problem needs to be defined. Next, you have to figure out what data is available to inform an analysis. Finally, the information needs to be consolidated from internal and external systems in order to identify patterns in the data to build context and ¬find insights. Only then, can data-driven solutions be proposed. Sounds easy - and it can be, but it all begins with the right query. In order to efficiently harness big data, businesses must ask the right questions. 

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