BizAcuity

FEBRUARY 15, 2019

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Image Source: [link]. Image Source: [link].

Sales 67

Sales Analytics B2B ROI 67

CIO Business Intelligence

APRIL 5, 2024

IIBA is a nonprofit professional association founded in 2003 to promote the field of business analysis. CBAP exam locations While CBAP exams used to be mostly administered in person, since the coronavirus pandemic began, the exam has shifted to a remote proctored model administered by PSI. CBAP benefits: Is CBAP worth it?

Business Analysis 111

Business Analysis Cost-Benefit Interactive Strategy 111

IBM Big Data Hub

JANUARY 26, 2024

The 2003 blackout mentioned earlier wasn’t an isolated case; in some regions, vegetation causes up to half of the power outages, and in the US, this figure reaches as high as 92% , as reported by the Federal Energy Commission. In highly regulated industries, it also aids in meeting reporting requirements.

Management 62

Management Data-driven Risk Reporting 62

FineReport

JULY 6, 2022

Tableau, founded in 2003, is a leading analytics platform focusing on providing intuitive data visualization to facilitate the process of reporting and analyzing massive data for organizations. It is easier for those with experience in data analytics to convert the data into visual reports. From Tableau. FineReport.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

But most common machine learning methods don’t give posteriors, and many don’t have explicit probability models. More precisely, our model is that $theta$ is drawn from a prior that depends on $t$, then $y$ comes from some known parametric family $f_theta$. Here, our items are query-ad pairs. Calculate posterior quantities of interest.

KDD 40

KDD Testing Machine Learning Measurement 40

CIO Business Intelligence

JULY 24, 2024

In 2003, Oxford University professor Nick Bostrom asked what happens if you ask a smart AI to make as many paperclips as possible. In the long term, what we want is to have more leverage about the kinds of behaviors a model is producing.” For example, he says, an AI model can’t make a decision on a person’s access to healthcare.

Risk 130

Risk Insurance Modeling Manufacturing 130

IBM Big Data Hub

OCTOBER 30, 2023

A proactive approach to the threat of a global health crisis After the SARS outbreak in 2003, federal and provincial governments in Canada recognized that their existing public health systems and IT were inadequate. Lesson 1: Use a data model built for public health. Lesson 2: Make key decisions with high-quality data.

Reporting 61

Reporting Management Forecasting Modeling 61

Occam's Razor

JULY 13, 2017

5: What-if Analysis Models. allow for smart elements like modeling. Strategy 5: What-if Analysis Models. Building on the thought above, if you create exploratory environments it can be exceedingly accretive to decision-making if we build in what-if type models. Good reporting. 2: If Complex, Focus! That’s the key.

Visualization 125

Visualization Strategy Interactive Statistics 125