IBM Big Data Hub

SEPTEMBER 11, 2023

The pain point tracker clusters the foundational data in which value metrics are then applied. For an agency with a child welfare mission like AZDCS, value metrics include multiple dimensions such as volume (what roles are impacted and how many people?), frequency (how many occurrences?), time (how much time is lost?)

Data-driven 87

Data-driven IT Measurement Cost-Benefit 87

FineReport

JUNE 19, 2023

Achieving operational objectives : Monitoring and reporting on key metrics aid businesses in meeting their operational goals and objectives. Operational reports incorporate tools such as dashboards, metrics, and Key Performance Indicators (KPIs). This encompasses strategic planning as well as operational enhancements.

Operational Reporting 52

Operational Reporting Reporting Key Performance Indicator Dashboards 52

IBM Big Data Hub

APRIL 25, 2024

Steps for improving output quality involve implementing quality control measures, fostering a culture of continuous improvement, and using customer feedback and other metrics to drive innovation. Frustrated customers were left stranded in call lines and Bouygues at risk of being replaced by its competitors. The result?

Cost-Benefit 60

Cost-Benefit Finance Optimization Key Performance Indicator 60

IBM Big Data Hub

JANUARY 10, 2023

Change programs can spend many weeks conducting interviews and workshops to identify ‘As Is’ pictures. They also allow you to quantify business value based on improvements and allows you to assign and track key metrics with business objectives. Picking up the pace: Accelerating the change journey.

Management 52

Management Data-driven Data mining Business Objectives 52

Sisense

JUNE 24, 2021

A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources. Those who fail to keep up run a real risk of becoming irrelevant, sidelined, and ultimately losing value in the workplace. Using these tools, V&B was able to demonstrate a €2.5

Analytics 83

Analytics Measurement Dashboards Optimization 83

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. With all this information in hand, you can think about training opportunities such as workshops, seminars, and others. Simultaneously, you will be saving a great deal of time by thinking everything through in advance.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. 1 570 0 570 Name: credit, dtype: int64. References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

JULY 20, 2023

There’s nothing wrong with being passionate about the bells and whistles of an innovative new technology or the technical nuances behind a cyber risk mitigation plan. This is one of the lessons we’ve learned facilitating technology-specific marketing workshops with CIOs and their teams. People want to understand: What’s in it for me?

Marketing 75

Marketing Technology Strategy ROI 75

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. For kicks, try calculating this kind of metric within your own organization.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

DataRobot Blog

FEBRUARY 2, 2023

Simultaneously, they come with clear risks (e.g., Further, foundation models may allow for improved interface design (§2.5: interaction) for both healthcare providers and patients to interact with AI systems, and their generative capabilities suggest potential for open-ended research problems like drug discovery.

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. Risk Management (most likely within context of governance). See: Use Infonomics to Quantify Data Monetization Risks and Establish a Data Security Budget. Saul Judah is our main person focusing on D&A risk management. Would really like to explore this one in debate. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

JULY 22, 2019

What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity. It changes how we have to respond to it.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

JANUARY 9, 2022

This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. The framework is tool that you can use, in a workshop setting if you will, to explore and unpack with business roles the decision and outcome they are trying to improve. How will this framework handle those cases ? This is flat wrong.

Analytics 64

Analytics Measurement Modeling Data-driven 64