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

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. Missed opportunities A slow budget can mean missed opportunities and potential ROI left on the table.

Forecasting 83

Forecasting Marketing Risk Sales 83

datapine

FEBRUARY 22, 2022

But the rewards outperform by far its costs, and it is well known that business intelligence ROI is real even if it is sometimes hard to quantify. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

BizAcuity

FEBRUARY 22, 2019

Modern financial analytics models enables opportunities for business collaborations through focus on metrics in addition to the improving the agility of the concerned organization in responding to emerging opportunities for revenue enhancement and cost reduction. Financial Analytics in Event Management Industry – A summary.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

Occam's Razor

AUGUST 13, 2012

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. Bjoern Sjut3: My main issue at the moment: How will multi-channel funnels and ROI calculations work in a multi device world? That means: All of these metrics are off. "Was the data correct?"

Modeling 124

Modeling Metrics Data Quality Data-driven 124

datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. Data visualization is the easiest way to surface data irregularities.

Dashboards 235

Dashboards Interactive Reporting KPI 235

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Occam's Razor

APRIL 21, 2014

Grow traffic first, with even with bad measurement I can find positive ROI areas for growth or invest time getting Analytics in order first for more objective decision making? I believe these two posts with a collection of some of my favorite metrics will inspire you: 1. Please read the blog post for all the details.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Occam's Razor

JANUARY 30, 2012

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), My goal is to give you a list of tools that I use in my everyday life as a practitioner (you'll see many of them implemented on this blog). Disclosure].

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. I also don't like the slew of metrics thrown at us in the standard report, hence I switch to the Comparison view and just pick the two metrics I want.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Occam's Razor

MARCH 23, 2010

In this blog post let me share with you some ground truths from my own humble experience. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. You'll have no time for data analysis, certainly not for data actioning. ~

Analytics 118

Analytics Consulting Metrics Experimentation 118

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

AUGUST 11, 2023

Moreover, they play a crucial role in quality management and compliance by enforcing quality control procedures, monitoring metrics and capturing real-time data. They also support the measurement of overall equipment effectiveness (OEE) , a significant metric used to gauge manufacturing efficiency.

Software 68

Software Manufacturing Cost-Benefit ROI 68

IBM Big Data Hub

SEPTEMBER 11, 2023

The team implemented a phased approach to the human-centered design assessment, which led to a data-driven roadmap of recommended technological enhancements. Each recommendation was grounded in the user research conducted and validated to render significant return on investment (ROI) to the business mission of AZDCS.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

IBM Big Data Hub

MARCH 26, 2024

Our clients are improving their ability to measure and track progress against ESG metrics, while concurrently operationalizing sustainability transformation. Data not only provides the quantitative requirements for ESG metrics, but it also provides the visibility to manage the performance of those metrics.

Measurement 60

Measurement Metrics Strategy Reporting 60

Andrew White

JANUARY 9, 2022

But I would search on our web site for AI and mid-size enterprise; or ask Anthony Mullen who leads our AI research in our data and analytics team. Can you remind where we can find the mentioned blog? Can you provide a link to your blog, or will we get notice of your info posted through email? What is an Ecosystem?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

FEBRUARY 4, 2019

Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Given the two points above, that’s okay—there are good ways to direct data exploration toward ROI. I took this tangent for two reasons. Why does this matter?

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 20, 2020

More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost of storing data for analysis, it ushered in an era of massive data collection. Subscribe to Alation's Blog.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. In this way, data governance is the business or process side. Attendance was high, as were the number of excellent questions.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

AUGUST 2, 2022

Establishing and monitoring metrics that validate improvements. Alation helped to streamline the process, as the data catalog connects information, articles, and conversation with helpful metadata. The results of this project were: Time-savings ROI of 3000%. Data discovery was conducted 67% times faster.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52