datapine

JANUARY 31, 2022

Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataKitchen

JANUARY 17, 2022

A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. . The Challenge. Requirements continually change.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

Cloudera

OCTOBER 4, 2023

Flexible use of compute resources on analytics — which is even more important as we start performing multiple different types of analytics, some critical to daily operations and some more exploratory and experimental in nature, and we don’t want to have resource demands collide.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

Smarten

NOVEMBER 3, 2017

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. The benefit of auto-suggestion and auto-recommendation is easy to understand.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

CIO Business Intelligence

APRIL 9, 2025

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. With respect to security, for example, several factors—e.g.,

IoT 23

IoT Big Data Data Warehouse Uncertainty 23