Too much data and not enough useful information is one of the great paradoxes of the era of large scale, pervasive computing. Improving that balance is a key challenge for the modern-day analyst. That requires becoming familiar with the most appropriate tools for generating meaningful insights. And there are some fairly basic yet extremely powerful ones that you need to know about.
This next chapter of the Practical Analysis blog series, beginning with this post, is dedicated to endowing you with that knowledge.
If we were to treat data analytics projects in the same way a physician would treat his or her patient, we would come to the realization that customized care is key. Every project is its own living being, with its own unique challenges and needs. It is for this reason why it is only natural that a solution should be custom as well.
However, despite the differences among various projects, there are a few symptoms of declining health that are more universal. If you find your data analytics project showing the following symptoms, allow yourself to take a step back and reevaluate the prognosis.
The original idea for the “Practical Analysis” blog series came from a seemingly simple question: “What is analysis?” Answering that question took me on a fascinating journey from Florence Nightingale’s work to improve public health in the mid-19th century to the most recent developments in the fields of machine learning and artificial intelligence.
Though I’d found some interesting anecdotes and instructive examples, it felt that something was still missing. Like the answer to the original question. Maybe I needed to ask some different questions that would yield more useful answers such as: What are the essential tools that 21st century analysts should have in their toolbox? Where did they come from? What was the thinking behind them? And ultimately, why do they matter — today?
DIUC19 is just 30 days away, and we are excited that this year we are celebrating the 30th anniversary of Dimensional Insight! While we are making final preparations for our sessions and activities, we hope you are making final preparations by booking your flights and hotel rooms.
Are you still on the fence on attending? Or have you already registered but are looking for things to do in Boston? We made a list of 30 can’t miss destinations and attractions to see throughout the city for you to enjoy whether you’re arriving in Boston a few days early or extending your stay through the weekend.
Has your organization strengthened their core with the help of our consulting team? Does your team feel more confident with how they use their data? If so, you are probably familiar with our very own Nishtha Adroja.
Nishtha is a consultant here at our Burlington headquarters. In today’s employee spotlight, she reflects on her career beginnings, offering advice to aspiring consultants and shares the importance of bringing care back into healthcare. (more…)
As time goes by, we find ourselves exhibiting three behaviors: collecting, letting go, and welcoming change. It’s easy to become a collector and tuck away objects without realizing the inevitable cluttered chaos that will slowly emerge into our lives. We do it at home with knick-knacks that we stuff in our kitchen drawers, and we also do it at work with data that collects and never gets used. Whatever it is that you’re collecting, at some point you recognize that there is simply too much of it and it’s finally time to part ways.
In the Netflix show, “Tidying Up with Marie Kondo,” decluttering professional Marie Kondo talks about the KonMari method of cleansing. She encourages tidy hopefuls to keep “only those things that speak to the heart.” In other words, one should strive to become more mindful as to what they invest their time and dollars into and that we must truly re-think what we welcome into our living spaces. So how can you cleanse and reorganize your organization? Here’s how your team can use the six KonMari rules to tidy up your data.
The annual Wisdom of Crowds® Business Intelligence Market Study by Dresner Advisory Services is out, and, as always, it is chock full of information on the status of business intelligence today.
Curious about the state of data, how successful organizations are with business intelligence, and how different vendors are rated by users? Let’s examine the top takeaways from the report. (more…)
Imagine driving up to the McDonald’s of the future: the screen at the drive-thru greets you by name – “Hello, Kathy” – and asks if you want your usual order. It would know I usually order a double cheeseburger and small fries, no drink. But on an unusually cold day, it would offer me a hot coffee (cream, no sugar), because it knows I would go for that. It also knows what items other customers are ordering, and it may offer me a trending item to see if I’d try it.
Does this future vision of McDonald’s excite you or terrify you? And would that opinion change if it wasn’t McDonald’s customizing your ordering experience, but an airline tracking your movements with facial recognition? Businesses have mountains of customer data at their fingertips, and now they’re starting to use it in myriad ways that are not only personalizing the customer experience, but are also raising privacy concerns. Let’s take a look in today’s “Hot Topic” blog post. (more…)
Technology has decreased the distance between people. Outsourced manufacturing has brought together the global economy, Facebook and WhatsApp make it simple to have a conversation with a friend across the globe, and Google makes the spread of ideas across oceans instantaneous.
These trends have also greatly impacted the healthcare industry by shrinking the gap between patients and providers. Telehealth services – while still relatively uncommon – have increased in use over the last several years according to researchers at the Harvard T.H. Chan School of Public Health. Let’s examine the rise of telehealth and how analytics can improve the experience for both patients and providers.
So you have a lot of data. And you’ve heard a lot about the importance of being a “data-driven organization.” But your company just can’t seem to connect the dots between the data at hand and making better decisions.
I wrote before about 4 best practices to creating a data-driven culture. But what if your organization doesn’t embrace any of the practices I discussed? Don’t worry – you can become more data-driven. Here are 5 things to focus on to improve your success with gaining insights through data. (more…)