BI & Analytics
Big Data and analytics go hand-in-hand. New and improved tools allow vast data sets to be finessed, and previously unmanageable data structures to be tamed.
Given the enormous amount of Business Intelligence software solutions available, narrowing down the right one for your business can be a tedious process. How does a business start implementing this software? One way to start is by looking at systems that are popular among peers, because those products are the
Data Science Platforms: Myth v. Reality The phrase “data science platform” has been bandied about a lot recently — at conferences, in market research, and in tech publications like this one. Forrester named data science platforms a top emerging technology last year, and companies using data science at an enterprise
There’s a part of data science that you rarely hear about: the deployment and production of data flows. Everybody talks about how to build models, but little time is spent discussing the difficulties of actually using those models. Yet these production issues are the reason many companies fail to see
Data-driven businesses are five times more likely to make faster decisions than their market peers, and twice as likely to land in the top quartile of financial performance within their industries. Business Intelligence, previously known as data mining combined with analytical processing and reporting, is changing how organizations move forward.
Journey Science, being derived from connected data from different customer activities, has become pivotal for the telecommunications industry, providing the means to drastically improve the customer experience and retention. It has the ability to link together scattered pieces of data, and enhance a telco business’ objectives. Siloed approaches are becoming
Following the success of our Creating Data-as-a-Service Products at Data Natives, Elizabeth Press from D3M Labs and Dataconomy are joining forces to give your organization the opportunity to jump start your next innovative data product. Contact us to book a training specifically designed for your organization. Even though analysts publish optimistic
The White Rabbit, Cheshire Cat and Your Analytics Wonderland: How Data Curation Reminds Me of a Familiar Childhood Journey
Analysis is easy. It’s rational and straightforward. Understand the relatively linear set of steps for populating an analytic model and you’re set for success. Finding insights is the part of the data process that is hard. It requires the non-linear skill of interpretation. Interpretation is inexact, it requires judgement and
Elizabeth Press from D3M Labs and Data Natives are joining forces to give you the opportunity to jump start your next innovation in one day during our 1-day workshop on October 26th Creating Innovative Data-as-a-Service Products. What is Data-as-a-Service? Data-as-a-Service (DaaS) can be described as productized data-driven insight on demand.