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. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

CIO Business Intelligence

OCTOBER 28, 2024

Scott Bickley, advisory fellow with the firm, said, “Workday launched its Skills Cloud back in 2018, and has been a thought leader in forecasting the enterprise shift from pre-defined roles to skills-based capabilities that allow an organization to dynamically pull from a skills pool the resources best suited to a task or goal.”

IT 111

IT ROI Data-driven Forecasting 111

DataRobot Blog

JUNE 1, 2022

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Join the virtual event sessions in your local time across Asia-Pacific, EMEA, and the Americas.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

Smart Data Collective

SEPTEMBER 12, 2021

Big data has been an invaluable contribution to our daily lives. We have started relying on big data to research new products, improve our experience online and make a number of other improvements. One of the biggest benefits of big data has been in the field of investing. Are you considering investing in stocks and shares?

Data-driven 116

Data-driven Strategy Big Data Cost-Benefit 116

Cloudera

JANUARY 7, 2025

Airports are an interconnected system where one unforeseen event can tip the scale into chaos. For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. In order for data to bring true value to operationsand ultimately customer experiencesthose data insights must be grounded in trust.

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

IBM Big Data Hub

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Smart Data Collective

JULY 26, 2023

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

Data-driven 97

Data-driven Management Big Data Sales 97

AWS Big Data

APRIL 11, 2023

Forecasting is another critical component of effective inventory management. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue. Finally, we can use Amazon SageMaker to build forecasting models that can predict inventory demand and optimize stock levels.

Forecasting 83

Forecasting Management IoT Data-driven 83

David Menninger's Analyst Perspectives

OCTOBER 16, 2024

As I noted in the 2024 Buyers Guide for Operational Data Platforms , intelligent applications powered by artificial intelligence have impacted the requirements for operational data platforms. Traditionally, operational data platforms support applications used to run the business.

Internet of Things 214

Internet of Things Data-driven Data Warehouse Interactive 214

Smarten

FEBRUARY 19, 2025

In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. Forecasting and planning cannot be based on opinions or guesswork. Like every other business, your organization must plan for success.

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

BizAcuity

MAY 7, 2019

To cater to these fast-changing market dynamics, the practice of demand forecasting began. Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market. The Need For Demand Forecasting.

Forecasting 75

Forecasting IT Sales Statistics 75

CIO Business Intelligence

OCTOBER 4, 2022

Business leaders, recognizing the importance of elevated customer experiences, are looking to the CIO and their IT teams to help harness the power of data, predictive analytics, and cloud resources to create more engaging, seamless experiences for customers. Embed CX into your data strategy. Consider three key areas of focus: 1.

Data-driven 111

Data-driven Machine Learning Interactive Predictive Analytics 111

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. billion in 2022, according to a research study published by The Insight Partners in August 2022.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

DataRobot

APRIL 26, 2021

Demand forecasting is a common Time Series use case in DataRobot. Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. We can apply more than one of these techniques in Demand Forecasting use cases.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given observed data X, we can predict some outcome Y. Or more simply: given X, find Y.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

JUNE 7, 2024

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. million in its first year, contributed a $5.5

IT 128

IT Forecasting Machine Learning Modeling 128

AWS Big Data

MAY 4, 2023

In this post, we share how Encored runs data engineering pipelines for containerized ML applications on AWS and how they use AWS Lambda to achieve performance improvement, cost reduction, and operational efficiency. It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

IBM Big Data Hub

NOVEMBER 2, 2022

Organizations are managing and analyzing large datasets every day, but many still need the right tools to generate data-driven insights. Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks. This may sound like FP&A’s mission today.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. They are composed of multiple graphs and charts that not only assist you in telling a complete story of performance but also make the data more accessible and understandable for a wider audience.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. Not just the pandemic, but also global trade tensions, Brexit in Europe, and things like the increasing frequency of extreme weather events. Business people want more data than ever.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

Sisense

JANUARY 6, 2020

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. For this partnership to work, it requires sales leaders who really care about data and are open to analysts’ advice about how to use the Salesforce data they generate.

Sales 91

Sales Forecasting Snapshot Management 91

CIO Business Intelligence

JULY 15, 2022

DTN is more than just a weather forecaster: It also offers decision-support services to companies in agriculture, energy, commodities, and the finance industry. Over the years, DTN has bought up several niche data service providers, each with its own IT systems — an environment that challenged DTN IT’s ability to innovate. “We

IT 111

IT Forecasting Data-driven Modeling 111

CIO Business Intelligence

DECEMBER 7, 2023

Then there’s the southern island of Kyushu, the tail-end of Japan, which is particularly prone to increasingly frequent and more intense disasters such as heavy-rain events, typhoons, and earthquakes. And the key to success is having data that can be analyzed for actionable insights.

Internet of Things 108

Internet of Things IoT Forecasting Digital Transformation 108

AWS Big Data

OCTOBER 9, 2024

We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This included web applications, Apache HBase data stores, Apache Solr search clusters, and Apache Hadoop clusters. Core nodes were also misconfigured to auto scale.

Optimization 123

Optimization Testing Data-driven Strategy 123

Smart Data Collective

FEBRUARY 20, 2022

More companies are investing in big data than ever these days. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading. Making Decisions More Easily.

Big Data 131

Big Data Management Finance Data-driven 131

Cloudera

OCTOBER 25, 2023

The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today. Many of these emissions are driven by industrial and transportation systems reliant on fossil fuels.

Machine Learning 102

Machine Learning Forecasting Data-driven Data Science 102

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

JUNE 15, 2022

Gartner has forecast that 65% of organizations will adopt ERP applications that use one or more of what it calls “fourth-era hallmarks” by 2023. Those include AI, data-centric design, systems that can be used off the shelf, functions that augment decisions, developer enablement, and customer-facing technology.

Key Performance Indicator 144

Key Performance Indicator Consulting KPI Sales 144

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

Jet Global

JANUARY 28, 2021

Far-reaching global events are becoming ever more common disturbances for multinational enterprises (MNEs), yet their impacts remain difficult to predict and mitigate. Read our top tips on how to manage tax forecasts. Tax software automatically gathers data from multiple sources and aggregates them into the right format.

Software 98

Software Forecasting Finance Measurement 98

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Customers have too many options.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111