Data Pine
OCTOBER 25, 2022
But with so many business analytics books out there and so little time, how do you decide which ones are worth your time? But before we unveil our definitive rundown of intelligence and business analytics books, let’s explore some facts, figures, and insights that will inspire you while steering your success in the exciting world of BI.
Astera
AUGUST 4, 2023
Like skilled fishermen, business and data professionals can cast their nets into the data lake and reel in the insights they need to drive business decisions. However, like all fishing trips, this demands careful planning and management to ensure data quality , security, and regulatory compliance.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Data Pine
MAY 9, 2019
Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization. 1) The raw data.
Insight Software
DECEMBER 8, 2020
If your company is planning to implement Microsoft’s Power BI analytics platform , it is critically important that you understand the complexity involved with a complete implementation. It requires extensive planning and top-notch project management skills to get right. Consider the track record of software projects in general.
Sisense
MARCH 6, 2019
Even the perfect BI platform can find itself in an unfulfilled project if there’s no champion for BI, lack of planning, or misalignment on the attention needed for execution. In his books, Harari also talks a lot about the role AI will play in our future – another topic that was covered deeply throughout this keynote.
Domo
MAY 13, 2021
Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.
Astera
FEBRUARY 7, 2024
Its versatility allows for its usage both as a database and as a data warehouse when needed. Data Warehousing : A database works well for transactional data operations but not for analysis, and the opposite is true for a data warehouse. The two complement each other so you can leverage your data more easily.
Expert insights. Personalized for you.
117 
Let's personalize your content