CIO Business Intelligence

OCTOBER 19, 2023

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. What you get isn’t a static report; it’s a dynamic model that you can drag and drop various Power BI data sets onto to simulate or optimize various options.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

IBM Big Data Hub

OCTOBER 27, 2022

IBM has the best channel ecosystem in the market today… it’s like a well-oiled machine. Lindt has used Cognos Analytics for more than 20 years as an analytics solution for its sales and marketing functions. They are the standard to which we hold all other vendors.”.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

Jet Global

DECEMBER 2, 2019

As we will outline below when discussing the technical execution differences between reporting and BI, with business intelligence, it’s possible (and required) to universally define goals and performance equations through KPIs and metrics that are calculated in the BI environment indefinitely.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Occam's Razor

JULY 15, 2014

It also handy explanations of the metrics, with key context where necessary. The VPs of Marketing, Advertising, Product, Public Relations, Human Resources etc., They should get a handful of numbers/charts (ideally identified upfront by the Digital Marketing and Measurement Model – DMMM) and they should get your brain in a box.

Dashboards 159

Dashboards Key Performance Indicator Snapshot Slice and Dice 159

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Key ways to optimize insights for sales.

Sales 91

Sales Forecasting Snapshot Management 91

Occam's Razor

SEPTEMBER 21, 2015

The Directors, the Marketers, the Optimization employees and our resident social media gurus. You can cut yourself with it and embarrass yourself, or you can look the very best you ever have by using it optimally. You understand a good amount of how this area of marketing works, you understand the company's goals.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Occam's Razor

NOVEMBER 18, 2014

In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. In the other two, I'll ask for your help in how you might connect the inspiration to your work as a Marketer/Analyst. We will look at six short stories.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Occam's Razor

JANUARY 7, 2014

4: The Analytics/Marketing skills in your Analysis Ninjas is 70/30. #3. The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. Digital Analyst, Web Analysis Guru, Digital Marketing Analyst, so on and so forth. More on the Digital Marketing & Measurement Model, DMMM, in #2 below.).

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Jet Global

MAY 12, 2023

To keep up with the demands that digital innovations place upon product markets, businesses are increasingly incorporating analytics into their products. Product managers rely on these analytics platforms to track metrics, analyze key performance indicators (KPIs), and visualize the end user’s experience with the product.

Analytics 52

Analytics Slice and Dice Sales Cost-Benefit 52

Jet Global

MARCH 20, 2024

Your finance team is under pressure to make data-driven decisions that optimize financial health and fuel strategic growth. With limited technical capabilities your team might struggle to slice and dice data, uncover hidden patterns, or perform deep dives into specific areas.

Slice and Dice 52

Slice and Dice Finance Reporting Cost-Benefit 52

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52