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 128

Digital Transformation Uncertainty Metrics Business Objectives 128

Jet Global

NOVEMBER 20, 2023

With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts. Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it. Or at least that is what users of these solutions believed.

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

CIO Business Intelligence

SEPTEMBER 15, 2022

How do you lead with compassion and kindness while holding people accountable, managing uncertainty, and delivering results? I was recently doing a bit of surfing on the internet and came across an article published in 2019 that seems to support my concept but looked at in the area of philosophy and psychology.

Uncertainty 104

Uncertainty Marketing Modeling Technology 104

Insight

APRIL 10, 2020

We are proud of the results above, but are constantly iterating on our model to do even better. Additionally, we feel it’s going to be even more important to provide this more structured and personalized guidance given the uncertainty of the COVID-19 pandemic. The average stock grant for publicly-traded companies is $26,000 per year.

Uncertainty 74

Uncertainty Statistics Machine Learning Publishing 74

CIO Business Intelligence

MARCH 29, 2022

It’s also important to go back to raw data to ask new questions and train new models, particularly as the world is constantly changing. Approximately duplicated data sets may introduce uncertainty about data quality. That, in turn, makes it more likely to find the ones that pay off. You have data but don’t use it.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Jen Stirrup

DECEMBER 14, 2018

I’m also starting to write another book, which will be my fourth published book, and that will require focus. As part of my MBA program, I’ve done lots of strategic analysis modelling for businesses, starting with the default SWOT and a PESTLE analysis through to different models: Porter, Business Canvas Model, SOAR, and so on.

Consulting 56

Consulting Business Intelligence Data Science Marketing 56

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

SEPTEMBER 19, 2023

Columbia University professor David Rogers, author of Digital Transformation Playbook and The Digital Transformation Roadmap , published in September, says it doesn’t have to be that way. How can enterprises attain these in the face of uncertainty? Where does the CIO role fit in the scheme of things? The third pillar is culture.

Digital Transformation 126

Digital Transformation Uncertainty Testing Enterprise 126

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Just 20% of organizations publish data provenance and data lineage. A significant majority of respondents—almost 80%—say their organizations do not publish information about data provenance or data lineage.

Data Quality 305

Data Quality Metadata Data Governance Publishing 305

CIO Business Intelligence

JUNE 24, 2022

By cryptographically signing blocks of transactions and publishing them broadly, a record of who owns what is achieved that is resistant to tampering. Beyond that basic fact, there is much uncertainty. . The decentralization of blockchain is a point of tension with traditional enterprise models. How stable is it? Brave token.

Software 141

Software Advertising Broadcasting Uncertainty 141

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. But for more complicated metrics like xRR, our preference is to bootstrap when measuring uncertainty.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Cloudera

NOVEMBER 18, 2021

So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). Data Lifecycle Connection.

Data Lake 78

Data Lake Cost-Benefit Digital Transformation Risk 78

The Unofficial Google Data Science Blog

JULY 22, 2020

Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic. For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. In practice, one may want to use more complex models to make these estimates.

Experimentation 95

Experimentation Statistics Testing Strategy 95

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. Businesses can instead access extra processing through pay-as-you-go models from public providers. These traditional methods are increasingly being left behind.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Sisense

APRIL 13, 2020

There is a treasure trove of market, culture, and management guidance published for business executives. For me, the takeaway is the need to prepare those critical things to face uncertainty in the current market.”. In fact, reading books and listening to audiobooks is up 35% worldwide as of March 2020, due to the COVID-19 pandemic.

Uncertainty 83

Uncertainty Marketing Digital Transformation Forecasting 83

Andrew White

MARCH 6, 2021

Given that the article is published in the Exchange section those implications are related to business and finance. You can model the changing dynamics of the demand for your markets; you can model inflation and interest rates over the same time frame. We use models. The article goes on to explore what this means.

Marketing 52

Marketing Forecasting Uncertainty Strategy 52

Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie. The solid line shows the y=x line for comparison.

Risk 67

Risk ROI Modeling Metrics 67

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A model may for example spit out a figure like £12.4 Here a distribution has been fitted to the business event being modelled.

Metrics 49

Metrics Statistics Data Quality Measurement 49

O'Reilly on Data

SEPTEMBER 11, 2019

2 in frequency in proposal topics; a related term, “models,” is No. An ML-related topic, “models,” was No. For example, even though ML and ML-related concepts —a related term, “ML models,” (No. But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

APRIL 16, 2019

In fact, this blog has published posts on this very topic. Modern products often don't start with set-in-stone business models because starting and scaling costs are low. In this case, we need a propensity-score model to provide the appropriate weight for each user. Wonders of the internet (and VC funding)!

Experimentation 68

Experimentation Sales Metrics Measurement 68

Smart Data Collective

FEBRUARY 14, 2023

Last year, Xiafei Li and his two colleagues in China published a study in the Annals of Operations Research on the ability to forecast stock market volatility with predictive analytics models. Many of these tools also use predictive analytics to forecast future asset prices with their valuation models.

Predictive Analytics 107

Predictive Analytics Management Analytics Risk 107

Jet Global

SEPTEMBER 22, 2022

Organizations need the ability to efficiently plan for uncertainty and respond to these fluctuations in the market. What if modeling gives you the ability to not just have a plan A, but also to evaluate plan B, plan C, plan D, and more. The Right Software Can Make “What If” Modeling Easy. Get a Demo.

Modeling 52

Modeling Forecasting Finance Uncertainty 52

Jet Global

JULY 28, 2023

Here, we discuss how factors like market uncertainty and IT dependence impact finance teams throughout EMEA. The State of Finance in EMEA Finance teams worldwide have been deeply impacted by market uncertainty. In a market defined by uncertainty, automation helps to bridge efficiency gaps.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

DECEMBER 8, 2023

Sustaining growth amidst economic uncertainty demands immediate, clear insights from your SAP data to inform strategic decision-making. Organizations seeking cloud migration must recalibrate processes, reconfigure data models, and adapt to a new interface and functionality.

Finance 52

Finance Reporting Management Software 52

Jet Global

AUGUST 31, 2022

BEPS already requires that companies itemize their revenues by country, and as taxation bodies develop more sophisticated models that compare BEPS data with corporate tax return data, there may be an increase in investigations, again reinforcing the growing need for data scientists. The Role of Technology in Adopting BEPS 2.0.

Software 52

Software Reporting Forecasting Management 52

Jet Global

FEBRUARY 5, 2024

Top Reasons for a Heavy Carbon Footprint From Your Supply Chain Keeping supply chains operating seamlessly in geopolitical and economic uncertainty is not a new challenge for global manufacturers, though it may feel like supply chain turbulence has become the new normal.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52

Jet Global

OCTOBER 18, 2021

Factory shutdowns, shipping bottlenecks, and shortages of raw materials have led to substantial uncertainty for businesses seeking to address the vicissitudes of supply-side availability. The sales of auto parts for older vehicles, likewise, will decline as new models supersede them. Successful Demand Planning and Forecasting.

Forecasting 52

Forecasting Recreation/Entertainment Sales Finance 52

Jet Global

NOVEMBER 10, 2021

It began with the arrival on scene of a pandemic, but has since been followed by ongoing supply chain uncertainty, price volatility, and disruption to the workforce. Change is inevitable, and budgeting methodologies that can easily accommodate variability can be an asset during times of particular uncertainty.

Enterprise 52

Enterprise Recreation/Entertainment Finance Reporting 52

Jet Global

OCTOBER 14, 2022

Angles for SAP applies a context-aware, process-rich business data model to SAP’s complex data structure and simplifies into normal business terms and language users understand, empowering business users to get answers quickly. Supply chain uncertainty isn’t going anywhere.

Finance 52

Finance Reporting Operational Reporting Forecasting 52

Jet Global

JANUARY 31, 2022

With cloud migration that means making upgrades, licensing, procurement and maintenance simpler with software-as-a-service (SaaS) models. Digital transformation has accelerated as organizations have been forced to adopt new operational models. The aim of technology in finance is to remove friction.

Finance 52

Finance Technology Recreation/Entertainment Reporting 52

Jet Global

JANUARY 31, 2022

DBB identifies the key factors that drive business results, and then models the expenses and resource allocations necessary to support the company’s activities as those drivers fluctuate. Use Scenario Modeling. Scenario modeling enables decision-makers to compare potential outcomes under a variety of conditions.

Forecasting 52

Forecasting Recreation/Entertainment Finance Software 52

Jet Global

JULY 28, 2023

A budgeting and planning solution that makes scenario modeling easy is a valuable tool for retail and food service businesses to overcome the impacts of seasonality. Get the edge on competitors and help drive revenue growth during the inevitable highs and lows of economic uncertainty. Schedule a Bizview demo today.

Forecasting 52

Forecasting Sales Dashboards Reporting 52

Jet Global

JUNE 28, 2022

We’re also seeing greater volatility in global events, uncertainty in global trade policies, and more. Many have shifted to digital models that enable them to more easily analyze data in detail. It’s not just BEPS, however, that is driving the need for greater agility in tax and transfer pricing activities.

Software 52

Software Forecasting Reporting Finance 52

Jet Global

JUNE 10, 2022

Compliance costs are expected to be fairly significant, and uncertainty abounds. The new regimen is expected to increase effective global tax rates for a majority of companies, and it will require organizations to align with a whole new set of rules that will govern transfer pricing and permanent establishment.

Forecasting 52

Forecasting Reporting Finance Software 52