IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 78

Marketing Technology Advertising ROI 78

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Sisense

SEPTEMBER 3, 2020

Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

Jet Global

MAY 15, 2020

How to Build Useful KPI Dashboards. Data sources. A reliable and constant data source is of upmost importance. A set procedure should outline how and when the data is collected. This is often best handled by a KPI dashboard. You have taken all this time to set goals, collect data, and compile it.

Metrics 98

Metrics Finance Reporting KPI 98

Occam's Razor

APRIL 13, 2015

Go to Acquisition > Social > Conversions > Assisted vs. Last Interaction Analysis tab. It has a useful, and dare I say, :), awesome, bundle of my favourite segments (six), dashboards (one, VP), custom reports (nine). With all the Social Media ROI pressure you might find the social media dashboards to be handy.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Domino Data Lab

JUNE 23, 2019

This talk will describe how you can navigate all these challenges that you’re going to face and build a business where every product interaction benefits from your investment in machine learning. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. To prioritize, how do we do this?

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. So why should your reports, dashboard, measurement priorities and "Measurable Success Factors" stay stagnant? Bonus Reading: Five Rules for High Impact Web Analytics Dashboards. ].

Analytics 118

Analytics Consulting Metrics Experimentation 118

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. MLOps creates a process where it’s easier to cull insights from business data.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

SEPTEMBER 1, 2022

Activating metadata within a data intelligence platform surfaces key insights and unburden experts from tedious manual work. Data intelligence goes beyond systematic data collection in organizations and [uses] metadata to link and interconnect additional information,” the report states. The solution?

Reporting 52

Reporting Metadata Data Governance Interactive 52