Small Businesses, Big Data—Data Analysis that Fits Your Business

So by now, there’s a good chance that almost all of you are acquainted with the concept of Big Data—the name for comprehensive information gleaned from numerous interconnected, ubiquitous devices. The common misconception is that data projects are a lofty, corporate concept, and that only big businesses with dedicated analysts can create and make use of them.

This is, of course, untrue; the growing prevalence of cloud computing and data networks means that any company can adopt some sort of analytics program without need for specialized training or extensive resources. The key is finding a program that fits your business.

Before analyzing any data, however, you’ll need something to work with. Now, this can vary depending on your business, but common useful data can include lead metrics, ROI statistics, social media engagement or, in the case of a Washington zoo, weather patterns. The goal here is to cross-examine multiple factors and create a picture of past trends in your business, allowing you to extrapolate future possibilities.

Don’t worry; this isn’t as complicated as it sounds. All you need is solid analytics software.

For e-commerce businesses, multiple viable options are available, including Google Analytics, which is customizable, easy-to-learn, and, perhaps most importantly, free. I mention GA because, for businesses that lack any sort of data specialist, choosing an analytics suite that can be easily used and interpreted is key. Google’s Analytics certification also provides an inexpensive and quick way to train employees on the basics of web metrics.

As for gathering the data, there’s no need for modern devices monitoring every facet of your business to make it work; things like POS systems will generally already have the information that you need. Your small business objectives are similar yet distinct from larger businesses, as you will likely be attempting to drive sales and improve your web presence, but through smaller promotions and with less capital to dedicate toward marketing material.

But, on a more practical level, what do you do with these analyses once you’ve seen them? Part of using Big Data is making an actionable plan based on your findings. Some data is completely useless on its own and must be compared with similar data to get a better picture of how your business is doing.

For instance, online click-through rates are nice, but you’ll need separate figures from ads, email campaigns, and social media posts to really get a sense of how to best reach your audience. The bottom line is that no data exists in a vacuum; you will always need to compare all business channels to create a useful picture.

I wish I could tell you that there was a magic bullet for small businesses to take advantage of the data boon, but there really isn’t. That said, I’m far from pessimistic about data usage. It’s certainly easier than ever for small businesses to make use of data, but the really tricky part is figuring out what your business wants to measure and how to use it in the long run.

Leveraging The Cloud Against Cancer

Big data has a number of applications in healthcare, from mapping out the genotypes of populations for public health initiatives to creating a more seamless and interoperable medical records system. As part of Vice President Biden’s Cancer Moonshot Task Force, the National Cancer Institute (NCI), Amazon Web Services, and Microsoft are collaborating to leverage the cloud against cancer.

Cancer Moonshot Header Image

via LLNL.gov

There are a number of variables that go into cancer research: the molecular structure of cancer cells, to environmental and social factors, to personal genetic factors–and this is just scratching the service. The applications of cloud technology and big data stand to revolutionize the rate at which we can comprehend cancer, and greatly accelerate the rate at which we can one day eradicate it

There already is a vast amount of data on cancer research, but it is segmented and spread across various databases and formats. Even if researchers are able to access data, it is often the case that their computers simply do not have the storage capacity to take advantage of the large quantities of data available.

Earlier this year, the NCI launched the Genomic Data Commons (which collates several large genomic datasets and allows researchers everywhere to add to it) and the Cancer Genomic Cloud Pilots (which provides innovative method for parsing through cancer data). Together these two initiatives breathe new life into cancer research and grant researchers heretofore unheard of access.

NCI Genomic Data Commons

NCI Genomic Data Commons

It’s a known fact that the most successful companies using cloud technology opt to share their data with others. To see government organizations freely share data, collaborate with private sector organizations, and to overall use their resources to contribute to a culture of innovation in cloud technology is a truly inspiring sight. With further collaboration between government and private sector organizations, we can one day hope to have a system of a system of compliance that pushes data-sharing and collaboration across the board.

 

Scott Maurice

Three Ways to Maximize Business Value with IoT

Three Ways to Maximize Business Value with IoT by Scott Maurice

The MIT Sloan Management Review recently released an extremely comprehensive report on IoT drawn from conversations with 1,480 businesses, managers, executive and IT insiders. The report includes a treasure trove of data, opinions, and advice. One thing that jumped out to me while parsing through the report are several statistically backed ways that companies can leverage IoT to increase business value.

Analytics

With the far-reaching data-mining capabilities of IoT, companies can easily find themselves overwhelmed with data. For instance, GE is reported to have “50 million data variables from 10 million sensors”. That’s A LOT of data. With a seemingly infinite amounts of data at hand, the question turns from how much data you have to how well you can analyze it. According to the report, companies with a strong analytics foundation are three times more likely to get value from IoT than those without. That increased value comes in the improved efficacy of projects and in knowing which projects are worth investing in. A staggering 45% of respondents with “good or excellent” analytics can accurately estimate returns on investments, while 19% of companies without good or excellent analytics expertise could. The key takeaway: Sound analytics is key to maximizing value from IoT. With 49% of companies still lagging behind in analytics capabilities, there’s still a lot of room for improvement.

IoT Analytics by MIT Sloan Management Review

IoT Analytics by MIT Sloan Management Review

Talent

Given that IoT is cutting edge technology, it requires talent that is specifically trained in how to handle it. Many businesses realize this. According to the report, 49% of respondents indicated that they need to improve their IoT talent base in order to best leverage IoT technology. Making sure that your company hires IoT is the most straightforward way grow an IoT knowledge base, but it’s not the only one. More than a third of respondents make use of a consulting service and over 40% partner with other organizations that are using IoT. Along these lines, companies can benefit from building relationships with companies that are providing IoT devices. Just like it helps to learn from the mechanic when you bring your car in to get repaired, it helps to learn from your IoT designers.

IoT Talent by MIT Sloan Management Review

IoT Talent by MIT Sloan Management Review

Sharing Data

According to the older paradigm of business, the last thing a company should do is share its data with others. After all, direct competitors may use that data against them and what interest could customers possibly find from data? Now, not only are more and more companies sharing data with customers and suppliers and competitors (66% of respondents in the report), but companies are actually benefitting from increased exchange of information. When companies share data with others, others are more likely to share data with companies. According to the report, the longer a company uses IoT, the more likely it is to share data. What’s more, companies that share data with competitors are more likely to cultivate business value from IoT. The benefit of sharing data is clear.

Data Sharing by MIT Sloan Management Review

Data Sharing by MIT Sloan Management Review

 

Perhaps the greatest takeaway from the report is the emphasis on collaboration. With Analytics, Talent, and Data in general–IoT is pushing companies towards working with one another, making for a more harmonious, and ultimately more innovative market.