Often times what we perceive as logic contradicts reality. In psychology, this tendency of believing we know more than we actually do is known as overconfidence. Too frequently do people solely rely on their intuition and logic to make decisions rather than basing them on data and analysis. During an observational study, I discovered a contradiction between my own logical reasoning and what the data actually suggested in regards to baseball.
The movement in the market, mainly by what we consider Generation 2 companies- those born around 2008-2012- sets up the Analytics industry for the future. And a big part of that future is the implementation of Artificial intelligence (AI) and Machine Learning into virtually every aspect of our lives.
Creating a Classification Model for Breast Cancer Screening The UCI Machine Learning Repository contains many full data sets that can be used to test and train machine learning models. One such example is the Breast Cancer Wisconsin (Diagnostic) Data Set which relates whether breast cancer is benign or malignant to 10 specific aspects of the …
The Six Steps of Creating a Machine Learning Model in Knowi Read More »
Curious to see how mobile application development company, Skratch, is making sense of silo’d data with augmented analytics technology? Scott Bennet, CEO of Skratch, and Ronen Akiva, CTO of Skratch, share how they are benefiting – and growing their business – from data-driven decisions. Here are 5 smart takeaways about Knowi from our webinar with …
Knowi Predictive Analytics brings machine learning capabilities to every Data Engineer. Integrate machine learning into your analytics workflows and drive data directed actions. The platform provides two options: Out-of-the-box predictive analytics capabilities that test a dataset against a variety of forecasting models to determine the model best suited to the data, with the least Sum …
Add Predictive Analytics on Your Dataset in 3 Steps Read More »
You hear it everywhere that business teams are hungry for analytics. They crave accurate predictions and forecasts to allow them to make better business decisions, faster. The problem is data has become so complex that most of the time they have to wait for it to be analyzed and presented. They waste time waiting and …
Augmented Analytics: What It Is and Why You Need It Read More »
We had a chance to sit down with our friends at Boku recently and talk about how they are using Knowi to provide business analytics across all their teams, including product, accounts, and business development, and have recently extended their analytics as value-added product offerings to their partners and customers. If you are not familiar …
How Boku Successfully Transitioned to a Data-Driven Enterprise Using Knowi Read More »
Data Services is the Answer! Yes, but… In our last post, we talked about using a data warehouse strategy as one of the ways to break down data silos across multiple departments and systems. Building a data warehouse is a traditional way to tackle the data silo problem. However, successful projects take serious organizational commitment …
Will Cockroaches and Data Silos Be the Only Things Left? Part II Read More »
The journey to modern data has been fast and furious. Within a just a few decades, we have gone from retrospective analytics on operational data located within your four walls to prescriptive analytics using real-time multi-sourced data and everything in between. While data, data storage, and data processing technologies have advanced, I would argue that …
7 Requirements to Deliver Business-Driven Analytics in the Modern Data Age Read More »
PDF Version Choosing the right visualization to tell your story is important, as the wrong visualization can cause confusion and distract your audience. We walk you through dozens of visualization types and how to best use them to get your point across. We all have our go to charts for visualizing data but if you …
Great Storytelling Starts with Using the Right Data Visualization Read More »
