Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CDW Research Hub

NOVEMBER 29, 2021

Data collection: IoT infrastructure often serves as the nucleus to integrate data from multiple sensors— and this data must be modeled processed to achieve your desired outcome. Data modeling: Modeling is necessary to normalize this data across all platforms and sensor groups.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. Database design is often an important part of the business analyst role.

Statistics 97

Statistics Metrics Visualization Finance 97

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

DataKitchen

MARCH 16, 2023

Under Efficiency, the Number of Data Product Owners metric measures the value of the business’s data products. Under Quality, the Data Quality Incidents metric measures the average data quality of datasets, while the Active Daily Users metric measures user activity across data platforms.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Alation

FEBRUARY 17, 2023

Discussing time-to-value, the ROI of good data use, sales growth, and cost reductions are a great set of examples to use and build confidence in your governance program. Some data seems more analytical, while other is operational (external facing). So what’s the outcome of data governance at the consumption level?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

IBM Big Data Hub

AUGUST 4, 2023

Risk of data swamps A data swamp is the result of a poorly managed data lake that lacks appropriate data quality and data governance practices to provide insightful learnings, rendering the data useless. 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

Domino Data Lab

JUNE 23, 2019

And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. The biggest time sink is often around data collection, labeling and cleaning. ” There’s either incomplete data, missing tracking data or duplicative tracking data, things like that.

Management 110

Management Machine Learning Experimentation Metrics 110

FineReport

MAY 31, 2023

Dupont Analysis Dashboard FineReport simplifies the implementation of the Dupont analysis model, enabling an in-depth examination of an enterprise’s financial condition through Return on Investment (ROI). Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Andrew White

JANUARY 9, 2022

– We see most, if not all, of data management being augmented with ML. Much as the analytics world shifted to augmented analytics, the same is happening in data management. You can find research published on the infusion of ML in data quality, and also data catalogs, data discovery, and data integration.

Analytics 64

Analytics Measurement Data-driven Modeling 64

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? We wonder why data people are not loved. :). Both are large scale issues requiring buy in from execs and multiple departments. Six years go by.

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

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. Lack of data, or data quality issues (silos).

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Jet Global

APRIL 14, 2022

Deep, proactive analysis is crucial for making key business decisions that benefit profitability, increase ROI, and reduce costly errors. Having accurate data is crucial to this process, but finance teams struggle to easily access and connect with data. Improve data quality. Reduce the risk of human error.

Data Collection 52

Data Collection Management Finance Reporting 52

CIO Business Intelligence

FEBRUARY 5, 2025

Half of CFOs say they plan to cut AI funding if it doesnt show measurable ROI within a year, according to a global survey from accounts payable automation firm Basware, which included 400 CFOs and finance leaders. CIOs are under pressure to validate AI investments and assure CFOs of a clear path of implementation that will ensure ROI.

Cost-Benefit 117

Cost-Benefit ROI Metrics Measurement 117