Data Insight

APRIL 8, 2020

During these unprecedented times, it’s more important than ever for businesses to be data-driven. Analysis and data, can help businesses understand and respond to market changes, and predict and plan for how things may change in the future. Measure – how are things changing? Monitor – what is happening?

Key Performance Indicator 52

Key Performance Indicator Analytics Measurement Uncertainty 52

CIO Business Intelligence

FEBRUARY 23, 2023

The steady march toward every app doing some data-driven work on behalf of the customer in the very moment that it matters most—whether that’s a spot-on “next best action” recommendation or a delivery time guarantee—isn’t going to stop. Netflix uses session data to customize the artwork you see in real time.

Uncertainty 98

Uncertainty Strategy Data-driven Machine Learning 98

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

JANUARY 12, 2023

In many ways, the manufacturing industry stands on edge—emerging from a pandemic and facing all-time highs in demand yet teetering on inflation-related economic uncertainty and coping with skilled labor shortages. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor.

Manufacturing 75

Manufacturing Technology IoT Internet of Things 75

CIO Business Intelligence

NOVEMBER 17, 2022

In particular, throughout her 20-year career, Drake has often been chastised for being too friendly, an unfamiliar quality perhaps in a results-driven business world. “A Drake says THG has built the platform in four of its data centres so far, allowing developers to build new platforms on ICE, and migrate existing THG workloads onto it.

Technology 109

Technology Consulting Uncertainty Data Processing 109

Sisense

MARCH 26, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. COVID-19 is disrupting global markets, as well as almost every aspect of the way we live and work. Business owners are reassessing important data to better understand the long-term impact.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

Jet Global

OCTOBER 8, 2020

There are many solutions on the market that profess to lighten a finance team’s workload under the current circumstances. Analysing the necessary data is a massive undertaking, and one that can draw finance professionals away from other tasks. Tip 3: Make decisions with operational data. But there’s a balance to be struck.

Finance 98

Finance Reporting Forecasting Metrics 98

CDW Research Hub

OCTOBER 19, 2021

Sirius’ services and solutions capabilities in key growth areas, including Hybrid Infrastructure, Security, Digital and Data Innovation, and Cloud and Managed Services, will enhance the breadth and depth of CDW’s services and solutions offerings. “As Sirius and CDW share common values and a performance-driven, customer-focused culture.

Uncertainty 102

Uncertainty Sales Finance Cost-Benefit 102

CIO Business Intelligence

JANUARY 4, 2023

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. Sustainability : As the HPC market grows, so do the implications of running such energy-intensive and complex infrastructure.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

Sisense

JUNE 24, 2020

Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Is your analytic app a product or service?

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. Situationally, it was a really good time to deploy a data mesh architecture and its principles and invest in this space because we were doing so much tech modernization,” Lavorini says. “So So why not make data a part of it?”

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

Jet Global

JULY 21, 2020

Be prepared to challenge any data points in the cash flow projection that are driven by an assumption that “business as usual“ will return quickly. As already noted, for example, sales pipeline data needs to be accurate and up to date. First, it means that data must be pulled from multiple sources, including ERP and CRM.

Management 64

Management Sales Forecasting Measurement 64

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products? Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Cloudera

NOVEMBER 19, 2018

Globalization – the transition from self-contained national economies and national markets to an interdependent, integrated global economic system and global market – is driving increasing expectations around sustainability.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

bridgei2i

JULY 8, 2020

And, in continuation of our conversations around the impact of COVID-19 on enterprises with thought leaders and industry experts, today we have with us Anand Ganesh – someone who brings in over two decades of experience in leadership positions across technology and consumer markets. Thank you for making the time, Ganesh.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Andrew White

APRIL 22, 2020

Emergency measures are undertaken with little planning. In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. Things stop working.

Software 52

Software Uncertainty Measurement Marketing 52

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Occam's Razor

JULY 12, 2010

I want to constantly be in the know of new and more clever ways of working with data, tools that are often solutions to problems we don't know we have yet or tools that are sometimes seeking problems to solve!! Well not crap… lots of data that no one cared about or actioned. More desire to be data driven.

Analytics 96

Analytics Measurement Metrics KPI 96

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. Thriving amid uncertainty means staying flexible, he argues. . CIOs need to understand the data behind the success or failure of technology,” Chandarana says.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

O'Reilly on Data

OCTOBER 13, 2020

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing.

Management 240

Management Metrics Machine Learning Modeling 240

Smart Data Collective

APRIL 18, 2019

There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. Today, the security market includes a dizzying array of technology-based products that all make a very bold claim–to automate the collection, correlation, and analysis of everything happening on your network.

Behavioral Analytics 77

Behavioral Analytics Advertising Uncertainty Machine Learning 77

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. A few highlights from the session include.

Management 110

Management Machine Learning Experimentation Metrics 110

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 number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Sisense

DECEMBER 13, 2021

It’s what allows them to unlock the full power of their data and make informed decisions. But, many don’t know where to begin or how exactly to work with their data to their optimal benefit. Data gives insight into user demographics, habits, preferences, and more. What is business intelligence?

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

Alation

SEPTEMBER 29, 2021

It’s been one year since we’ve started publishing the Alation State of Data Culture report, and uncertainty still remains the only sure thing. Yet, through it all, organizations that rely on, and invest in, building a data culture have consistently outperformed those who don’t. Ignore Data at Your Peril. It’s obvious.

Reporting 69

Reporting Uncertainty Data-driven Data Governance 69

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Statistical studies can also assist in the marketing of goods or services, and in understanding each target market’s unique value drivers. Scientists!

Statistics 363

Statistics Advertising Visualization Data mining 363

Jen Stirrup

NOVEMBER 15, 2022

Why do organizations get stuck with their data? Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. It is such a fundamental question.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Jet Global

FEBRUARY 2, 2023

However, the construction industry includes a plethora of non-financial data points to track – are projects being delivered on time? How deeply will projects be impacted by market instability, skills shortages, and supply chain delays? Globally, construction is projected to grow substantially. trillion worldwide by 2030.

Uncertainty 52

Uncertainty KPI Reporting Measurement 52

Jet Global

FEBRUARY 5, 2024

Understanding your SAP data to its fullest is the first step o n the journey towards a more sustainable future. W ith a n advanced operational reporting solution that delivers proper data analysis , you can put your best foot forward. Your SAP system holds the key to both understanding and reducing your carbon footprint.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52

Jet Global

JUNE 10, 2022

The first aims to align corporate taxation with the actual economic activity that takes place within a given market. Instead, taxation is driven by the production and consumption that take place within each member country. Compliance costs are expected to be fairly significant, and uncertainty abounds. Get a Demo.

Forecasting 52

Forecasting Reporting Finance Software 52