Timo Elliott

JANUARY 22, 2019

We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. Better user experience drives greater adoption. New experience analytics. Traditional analytics focused on structured data flowing from operational systems.

Data Discovery 240

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 240

Sisense

FEBRUARY 9, 2021

Confectioners, gift companies, flower retailers, and other businesses will rely on mountains of data to make sure this amorous day of celebration comes up roses for countless romantics across the globe. Data in full bloom. Head over heels in love — with data.

E-Commerce 98

E-Commerce Supply Chain Retail Logistics 98

Data Pine

MAY 9, 2019

You can view business intelligence as an extremely powerful data discovery tool that is an extension of your fast thinking mind. Improve your customer experience processes. In the age of information, customer service and customer experience (CX) are among the most important factors in ongoing growth and success.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Astera

MAY 30, 2024

This approach often involves more complex processes like drill-down, data discovery, mining, and correlations. Example : Financial institutions employ analytics to assess credit risk by analyzing applicants’ historical data and predicting their loan repayment ability.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Timo Elliott

DECEMBER 11, 2018

It’s clear that data is one of the most important assets of the future. Organizations want to optimize their end-to-end customer experience, to improve productivity, and to engage the workforce in new ways. All of these things require data and analytics. Why is it still important for innovative businesses?

Big Data 274

Big Data Healthcare Data Discovery Visualization 274

Tableau

FEBRUARY 24, 2021

Which leads to an important follow on: what exactly is data science work? There have been several industry standards for breaking down data science work. The first was the KDD (or Knowledge in Data Discovery) method, that over time was modified and expanded upon by others.

Visualization 111

Visualization Data Visualization Data Discovery Customer Experience 111

Tableau

FEBRUARY 24, 2021

Which leads to an important follow on: what exactly is data science work? There have been several industry standards for breaking down data science work. The first was the KDD (or Knowledge in Data Discovery) method, that over time was modified and expanded upon by others.

Visualization 52

Visualization Data Visualization Data Discovery Customer Experience 52