Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Where to Use Data Science? Data Mining Techniques and Data Visualization.

Data Mining 360

Data Mining Big Data Artificial Intelligence Data Warehouse 360

Sisense

MARCH 30, 2020

Sisense Knowledge Graph is a powerful engine that was developed with over a decade’s worth of data, studying over 650 billion events that indicate organizational usage patterns. Report Manager (Premium Add-on) : Set up and share customized reports on a predefined schedule or triggered by events.

Artificial Intelligence 92

Artificial Intelligence Data Modelling Digital Business Intelligence 92

Sisense

MAY 31, 2020

Sisense is delivering a beautiful front-end experience, powerful and flexible data modeling, and the opportunity to integrate at a very deep level.” ” Chris Wallingford, Director of Business Intelligence, Tessitura Network.

Data Warehouse 98

Data Warehouse Innovation Predictive Analytics Vision 98

Marutitech

MARCH 10, 2022

Once you gather the raw data, you can dissect and refine it until you retrieve the precisely needed information for your predictive analytics project. Consider working with your past events, successes, and failures to identify the truth behind your insights and implement it into your new dataset to predict the future.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Whizlabs

APRIL 19, 2021

Michelle Bailey – GVP/GM & IDC Research Fellow at IDC, Speaker at Leading Industry Events. Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research. She is a frequent speaker at Leading Industry Events. Follow Chelsea L.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

JUNE 16, 2020

By mid-March, Soft Stuff’s business plummeted, falling to 20% of where it had been at the same time in 2019. With no end to the pandemic in sight and no clear future date when hotels would again be filled and convention centers hosting events, Soft Stuff needed to pivot its business model to survive.

E-Commerce 69

E-Commerce Digital Transformation Planning Big Data 69

Tableau

JUNE 26, 2021

In blogs this month, past winners shared their ideas, including Joshua Smith (2019 co-champion) and Sarah Bartlett (2018 finalist). Maggy Muellner, Playfair Data : 3 Innovative Ways to Use Filters in Tableau. Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model.

Data Modelling 108

Data Modelling Innovation Data Analytics Data Analytics 108