datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. According to Better Buys, 85% of business leaders feel that using big data to their advantage will significantly improve the way they run their companies – and they’re not wrong.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Analytics Vidhya

MAY 9, 2019

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction “What are the different branches of analytics?” Most of us, when we’re. The post A Practical Introduction to Prescriptive Analytics (with Case Study in R) appeared first on Analytics Vidhya.

Prescriptive Analytics 304

Prescriptive Analytics Analytics Business Analytics Data Science 304

O'Reilly on Data

MAY 9, 2019

The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies. In this episode of the Data Show , I spoke with Jeff Jonas , CEO, founder and chief scientist of Senzing , a startup focused on making real-time entity resolution technologies broadly accessible. He was previously a fellow and chief scientist of context computing at IBM.

Marketing 203

Marketing Technology 203

Dataiku

MAY 9, 2019

Whether businesses have a specific aversion to change or they simply find change too difficult to manage, the bottom line is that it holds companies back. Yet in the age of machine learning and AI, change is the new normal that the average enterprise will have to embrace. Here are the top ways that new technologies will impact your organization (whether you plan for it or not).

Machine Learning 92

Machine Learning Enterprise Management Technology 92

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

erwin

MAY 9, 2019

Emerging technology has always played an important role in business transformation. In the race to collect and analyze data, provide superior customer experiences, and manage resources, new technologies always interest IT and business leaders. KPMG’s The Changing Landscape of Disruptive Technologies found that today’s businesses are showing the most interest in emerging technology like the Internet of Things (IoT) , artificial intelligence (AI) and robotics.

Technology 75

Technology Enterprise Management Internet of Things 75

DataRobot

MAY 9, 2019

Companies planning to be AI-driven will find pragmatic advice in Best Practices: Scaling Data Science Across The Enterprise , a report from industry analysts at Forrester Research. Author Kjell Carlsson, Ph.D. identifies three key takeaways in the report: enterprises struggle to expand data science across the organization; without alignment, data science projects fail to drive outcomes; adopt five best practices to scale data science.

Enterprise 68

Enterprise Data Science Data-driven Reporting 68

IBM Big Data Hub

MAY 9, 2019

The IBM Institute for Business Value found that 85 percent of companies manage a multicloud environment.

Data Integration 74

Data Integration Management 74

Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it. Even if they complete it, they lack the ability to identify and correlate the success metrics with key business goals.

IoT 53

IoT Modeling Metrics Measurement 53

Bruno Aziza

MAY 9, 2019

AmFam’s journey from a data-rich company to a data-driven company.

Data Lake 77

Data Lake Data-driven 77

The Data School

MAY 9, 2019

In depth post about using SQL to detect outliers using simple techniques and using inter quartile range

40

40

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

The Data School

MAY 9, 2019

Example of how applying design thinking improves dashboard design

Dashboards 40

Dashboards 40