The following simulation is based on a presentation that I attended in the 1990s. I was an investment junkie back then. I sat down, and I listening to people speak about their ideas on making money - on television and sometimes live. The presenter in this case was trying to explain that investment success is sometimes a matter of chance. He had people in the audience stand up. He asked them to guess heads or tails. Those that were correct continued to the next round - to guess again -…Continue
Many of “out-of-the-box” analytics solutions come with automatically defined user sessions. It’s good to start with, but as your company grows, you’ll want to have your own session definitions based on your event data. Analyzing user sessions with SQL gives you flexibility and full control over how metrics are defined for your unique business.
The session is usually defined as a group…
Added by Luba Belokon on March 27, 2018 at 1:00am — No Comments
The term “technical analysis” usually refers to the study of stock prices. A technical analyst might use real-time or closing prices of stocks to predict future prices. This is an interesting concept because of what is normally excluded from the analysis - namely, everything except prices. Given that the approach doesn’t necessarily consider the health or profitability of the underlying companies, a purely technical approach seems to offer guidance that is disconnected from reality. Yet…Continue
Added by Don Philip Faithful on March 17, 2018 at 3:00am — No Comments
Quite recently we’ve built event analytics for our team and thought to share this experience with you in this post .
Many of “out-of-the-box” analytics solutions come with automatically defined user sessions. It’s good to start with, but as your company grows, you’ll want to have your own session definitions based on your event data. Analyzing user…Continue
Added by Luba Belokon on February 8, 2018 at 7:30am — No Comments
The Statsbot team estimated LTV 592 times for different clients and business models.
Customer lifetime value, or LTV, is the amount of money that a customer will spend with your business in their “lifetime,” or at least, in the portion of it that they spend in a relationship with you. It’s an important indicator of how much you can spend on acquiring new customers. For example, your customer acquisition cost (CAC) is $150, and LTV is…Continue
Added by Luba Belokon on February 1, 2018 at 8:30am — No Comments
I once posted about making use of narrative objects. In this blog, I will be discussing an algorithm that supports the creation of these objects. I call it my “Infereferencing Algorithm”: this term is most easily pronounced with a slight pause between “infer” and “referencing.” I consider this a useful and widely applicable algorithm although I don’t believe it operates well in a relational database environment. Instead, I use “mass data files”: these contain unstructured lumps of…Continue
Added by Don Philip Faithful on December 31, 2017 at 8:00am — No Comments
You’ve perfected your CV, got great experience under your belt, maybe a PhD and can wrangle data amongst the finest but just how prepared are you for your next interview?
Just the thought of the face-to-face interview stage is enough to strike fear into the bravest of us. Here are a few things to keep in mind and stave off the sweaty palm syndrome. (Bonus tip – if you are prone to perspire through the palm, remember to use a…Continue
Added by Matt Reaney on December 6, 2017 at 2:00am — No Comments
Many of us trust our gut feeling implicitly.
We have all been there when something didn’t feel right but done it anyway. There was nothing obvious to suggest that it was a bad idea. Yet, when it turns out to be a disaster we wonder why we didn’t listen to that gentle little voice: “don’t do it.”
It seems that our gut feel is some magical force, but actually, it is an accumulation of thousands of tiny past moments, all informing our current situation. You could…Continue
Added by Matt Reaney on November 14, 2017 at 2:30am — No Comments
“The problem is that, in many cases, big data is not used well. Companies are better at collecting data – about their customers, about their products, about competitors – than analyzing that data and designing strategy around it.” –
How can this still be the case? I mean after 5+ years of experience with Big Data, have we not learned a darn thing? We get the following observation from no less than the Harvard Business School:
Added by Bill Schmarzo on September 26, 2017 at 6:30am — No Comments
Data is important. It is not a secret for anybody. We can even paraphrase famous saying mentioning that “who owns the data, owns the world”. And if you are a business person, you should know like no one else. Your activity can be changed for better if you use Big Data sources. Sales growth, clever marketing strategy - you can achieve it using Big Data. Let’s check it out what is Big Data and how you can make use of it.
In fact, Big Data…Continue
Added by Nataliia Kharchenko on August 14, 2017 at 7:00am — No Comments
Business Intelligence (BI) software is a valuable investment. May be you are thinking: “Why we have requirement of Business Intelligence?”
To prove this expenditure, Data scientist & decision makers necessity to look at big picture benefit.…Continue
Added by Priyanka Jain on April 11, 2017 at 1:30am — No Comments
I was joking when I entered on Google, “Where was my coworker yesterday?” After reviewing the responses that appeared from the search engine, I continued, “What did she eat for breakfast?” Sometimes the responses to my everyday questions seem insightful - on a certain level, interesting and intriguing. Usually the quality of the responses is quite poor. I assume therefore that the algorithms operating in the background don’t “understand” the sense of what I am asking. If I were to ask,…Continue
Added by Don Philip Faithful on April 1, 2017 at 9:30am — No Comments
I am sometimes asked whether I am working on the stats, whether I am making progress on the stats, and what I do with all of the stats. People are also prone to hyperbole. I am told that I sure work on a lot of stats, I am always keeping myself busy doing stats, and I am the person to go to for stats. I suppose my real job is more mysterious than the one others imagine that I do. I first want to explain that for everyday people, the term “stats” or “statistics” often means historical…Continue
Added by Don Philip Faithful on March 11, 2017 at 10:00am — No Comments
Would you like to know how much they’re spending, when they’re spending, why they’re buying with the competition and not you, what…Continue
Added by Mark Ross-Smith on January 11, 2017 at 3:31am — No Comments
In a prior post I outlined some thoughts on the outlook for the data analytics sector and referenced a database I prepared of analytics companies. At the time the list comprised about 400 names categorized into a number of sectors and segments.
I’ve continued to update the list since that time and it now comprises about 800 companies.
A Data science-based solution needs to address problems at multiple levels. While it addresses a business problem, computationally it is comprised of a pipeline of algorithm which, in turn, operates on relevant data presented in proper format. Thus to understand the them we need to focus at least at the
Contrary to the popular belief, almost all non-trivial data science solutions are needed to be…Continue
Added by Arijit Laha on October 3, 2016 at 10:30pm — No Comments
Data Visualization happens to be an uncomplicated way of assisting the human memory and enhancing decision making. A number of tools are there that are going to cater to the requirements of having a look at humongous statistics to the tune of Peta and Zeta bytes. Number crunching when the amount of data is huge is an incredibly testing job and this is software that is going to be your buddy in addressing testing business dilemmas.…Continue
Added by Pawan Dwivedi on August 3, 2016 at 11:00pm — No Comments
Today we discuss how to handle large datasets (big data) with MS Excel. This article is for marketers such as brand builders, marketing officers, business analysts and the like, who want to be hands-on with data, even when it is a lot of data.
If you are not the hammer you are the nail. We, the marketers, should defend our role of strategic decision-makers by staying in control of the data analysis function…Continue
To some, the term “business intelligence” may seem like a hilarious oxymoron, but the term is actually not used to describe how smart a business or its owner is. Instead, it’s used to describe a number of different computer programs that are used to gather, analyze, and report on a business’s data. Business intelligence, or BI as it’s often called, is made of things such as…Continue
Added by Matt Ritter on January 31, 2016 at 4:30am — No Comments