Rocket-Powered Data Science

JULY 19, 2023

The latter is associated primarily with “watching” the data for interesting patterns, while precursor analytics is associated primarily with training the business systems to quickly identify those specific patterns and events that could be associated with high-risk events, thus requiring timely attention, intervention, and remediation.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Smart Data Collective

FEBRUARY 14, 2023

Before you can create a strategy, you must determine your risk tolerance. Finding the right balance between risk and reward is all about your establishing personal investment goals. Once you have outlined your risk tolerance, you will have an easier time using predictive analytics tools to improve your asset allocation strategy.

Predictive Analytics 132

Predictive Analytics Management Analytics Uncertainty 132

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. These characteristics of the problem drive the forecasting approaches.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. One of the primary sources of tension? What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

JUNE 2, 2022

Businesses today have faced greater levels of uncertainty than ever before. Whether it’s managing deliverables, requesting approvals or any of the steps in between, automated processes result in significantly lower risk of introducing errors and allow developers to focus on more value-added work. By Milan Shetti, CEO Rocket Software.

Uncertainty 130

Uncertainty Reporting Software Cost-Benefit 130

CIO Business Intelligence

SEPTEMBER 20, 2023

They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful. Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

Cloudera

DECEMBER 3, 2021

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. We need to get to the root of the problem. System Design. Model Drift.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

Jet Global

SEPTEMBER 28, 2020

COVID-19 introduces another level of uncertainty. Decision-makers need to focus on the key performance indicators, the most urgent and insightful, or else they risk getting overwhelmed with irrelevant data resulting in analysis paralysis. This is no time for delays, so focus on these five KPIs above all others. 1) Liquidity.

Key Performance Indicator 98

Key Performance Indicator Metrics Cost-Benefit Finance 98

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. If people need to go through multiple layers of approvals, they run the risk of building a very inefficient system. Tumultuous times redefine what constitutes success.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

JULY 23, 2024

Gen AI can still hallucinate, even if tuned, creating a level of uncertainty when more traditional tools would be more consistent. It’s a scary level of uncertainty and risk, and that makes it difficult to use as a rip and replace for existing technologies.”

Uncertainty 131

Uncertainty Machine Learning Business Intelligence Marketing 131

Jet Global

JUNE 23, 2020

As companies grapple with economic shutdowns, plummeting revenues, market instability, and economic uncertainty now and into the foreseeable future, they need financial insights more than ever before. Every accounting department handles financial reporting differently depending on its metrics, strategy, or audience.

Reporting 98

Reporting Uncertainty Metrics Measurement 98

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Jet Global

APRIL 27, 2020

Frequent updates based on real-time data provide an up-to-the-minute view of key metrics. Clear visibility to key metrics keeps the team focused and encourages clear, concise daily communication. Re-Assess Your Risks. Some of your risks may be less obvious. Will those trading partners remain operational?

Forecasting 80

Forecasting Finance Metrics Risk 80

Jet Global

OCTOBER 8, 2020

It also decreases the risk of errors by eliminating disjointed, manual processes. And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. Tip 2: Improving accounts receivable procedures.

Finance 98

Finance Reporting Forecasting Metrics 98

Jet Global

MAY 11, 2021

May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support. RALEIGH, N.C. – COVID-19 Response & Economic Recovery Indicators.

Finance 98

Finance Technology Forecasting Uncertainty 98

Sisense

MARCH 26, 2020

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty.” Evan Castle, Sisense Head of BI & Analytics Products.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

Jet Global

NOVEMBER 15, 2019

Members of the finance or IT teams have to go hunting through multiple data sources, identifying and integrating the metrics they need to build reports. Since so much of the process is manual, there’s a high risk of human error. Does it involve more work than you’d like and create more uncertainty than you can accept?

Reporting 75

Reporting Uncertainty Metrics Finance 75

Jet Global

JANUARY 5, 2021

Although Microsoft’s rollout of its two ERP cloud products (D365 F&SCM, and for smaller businesses, D365 Business Central) has been going on for some time, the current climate of economic uncertainty has prompted a lot of companies to hit the pause button on migration, choosing instead to stay the course with their existing Dynamics AX systems.

Reporting 98

Reporting Data Warehouse Finance Dashboards 98

CIO Business Intelligence

MARCH 9, 2023

In an IT marketplace marked by turbulence, inflation, and economic uncertainty, the process of contracting with vendors for technology products and services has gotten significantly more challenging for CIOs. Pricing models and metrics can also be complex, making it difficult to understand when additional costs might kick in, Alexander says.

Cost-Benefit 116

Cost-Benefit Uncertainty Risk Technology 116

CIO Business Intelligence

MAY 4, 2022

More specifically, Rasmussen is boosting her spend on cybersecurity to help manage risk, a key element for enabling Ceridian’s planned global expansion. He says organizations are looking to automate, streamline operations, and reduce costs to help deal with an unsettled labor market, worker shortages, inflation, and geopolitical uncertainty.

IT 135

IT Business Driver Reporting Uncertainty 135

Jet Global

OCTOBER 21, 2020

The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet. Even the most careful and diligent financial planning process is vulnerable, running the risk of being obsolete. In the past few months, planning has changed – and it has changed dramatically.

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

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 Science 110

Data Science Data-driven Machine Learning Modeling 110

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. The pain point tracker clusters the foundational data in which value metrics are then applied. frequency (how many occurrences?), time (how much time is lost?)

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

DataKitchen

OCTOBER 2, 2023

A Data Journey supplies real-time statuses and alerts on start times, processing durations, test results, and infrastructure events, among other metrics. Data Journeys track and monitor all levels of the data stack, from data to tools to code to tests across all critical dimensions.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

CIO Business Intelligence

SEPTEMBER 27, 2022

This document, usually called a business case, typically includes a description of the program’s objectives and scope, implementation costs and schedule, development and operational risks, and projected benefits. Change creates uncertainty at all organization levels. All impose a workload bubble on the ERP deployment and support team.

Enterprise 119

Enterprise Cost-Benefit Manufacturing Software 119

CIO Business Intelligence

JULY 7, 2023

As an IT management framework, ITIL can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. ITIL certification is near the top of almost every list of must-have IT certifications, and for good reason.

Cost-Benefit 98

Cost-Benefit Strategy Management Uncertainty 98

Jet Global

JANUARY 22, 2020

Any reporting process that relies on users manually manipulating data is at risk of typos and other human errors compromising that data. The desire to rush through reporting in order to access insights faster only raises the risk of these errors. Contending with Data Errors.

Reporting 78

Reporting Snapshot Data-driven Uncertainty 78

Alation

OCTOBER 26, 2021

They need trusted data to drive reliable reporting, decision-making, and risk reduction. Consistent, reliable reporting can then drive more positive outcomes for the entire business, including improved compliance, risk reduction, and increased revenue. “We This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Jet Global

JUNE 25, 2020

The business oracles at Gartner recently released a list of nine traits necessary for CFOs to preserve performance throughout periods of crisis and uncertainty. Facilitating Risk Taking. Financial invisibility represents one of the biggest risks companies face right now. Fighting Scope Creep. Funding Critical Initiatives.

Uncertainty 52

Uncertainty Reporting Risk Metrics 52

Domino Data Lab

JUNE 23, 2019

Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. Another pattern that I’ve seen in good PMs is that they’re very metric-driven. If you can find a machine learning application that ties to a direct business metric, it can be magical.

Management 110

Management Machine Learning Experimentation Metrics 110

Jedox

AUGUST 20, 2020

But as the current market uncertainty continues, CFOs need to refresh their approach to achieving cash and cost transparency. With a single data repository, their data and assumptions can help CFOs and senior management to stop reacting to P&L metric movements. Let’s look at three steps on how to achieve that.

Uncertainty 52

Uncertainty Marketing Forecasting Finance 52

Jet Global

SEPTEMBER 10, 2020

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. Imagine having real-time indicators consolidated across sales, marketing, operations, and HR—in addition to metrics on recent acquisitions and overall market trends.

Forecasting 52

Forecasting Finance Uncertainty Sales 52

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

The Unofficial Google Data Science Blog

MAY 31, 2016

This means it is possible to specify exactly in which geos an ad campaign will be served – and to observe the ad spend and the response metric at the geo level. In other words, iROAS is the slope of a curve of the response metric plotted against the underlying advertising spend. They are non-overlapping geo-targetable regions.

Advertising 43

Advertising Testing Sales Statistics 43

CIO Business Intelligence

JULY 10, 2024

And as gen AI is deployed by more companies, especially for high-risk, public-facing use cases, we’re likely to see more examples like this. But only 33% of respondents said they’re working to mitigate cybersecurity risks, down from 38% last year. But plans are progressing slower than anticipated because of associated risks,” she says.

Enterprise 136

Enterprise Risk Modeling Risk Management 136