CIO Business Intelligence

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

Sales 71

Sales Data-driven Digital Transformation Machine Learning 71

CIO Business Intelligence

JULY 17, 2023

To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?

IT 79

IT Digital Transformation IoT Internet of Things 79

CIO Business Intelligence

JANUARY 3, 2023

To reduce its carbon footprint and mitigate climate change, the National Hockey League (NHL) has turned to data and analytics to gauge the sustainability performance of the arenas where its teams play. The only way for you to speak in the language of business is to have the data that help you derive those insights.”

Metrics 138

Metrics Measurement Recreation/Entertainment Data Collection 138

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

MAY 18, 2022

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find and analyze data. Business goals include improving results and productivity, and getting the best results out of your data, as well as gaining meaningful insight into data.

Data-driven 67

Data-driven Sales Metrics Testing 67

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . Providing more value to citizens through data. The pandemic has highlighted the increasing importance of getting the most out of the data a government has.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. Christian Welborn recently published an article on taking a data-driven approach to GTM.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

Smarten

AUGUST 23, 2022

To answer this question, we first need to understand the difference between standard natural language processing in analytics (AKA Dumb NLP) and context-driven searching using natural language processing (AKA Intuitive NLP). Context-driven natural language processing allows people to think and communicate like people – not like machines!

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

CIO Business Intelligence

MAY 9, 2024

And accordingly, since coming to Wacker in 2018, Polanki has worked both to embody Wacker’s DEI principles and, alongside his fellow council members, to inject such principles into the organization’s ethos. Because I came from an outside consulting and value-driven mindset,” explains Polanki, I put the customer in the front.

Data-driven 64

Data-driven Technology Cost-Benefit Manufacturing 64

Jet Global

AUGUST 31, 2022

Integration will help finance professionals understand their data and make critical business decisions. Organizations tend to rely on Excel spreadsheets to gather and analyze data. They often lack a single source of truth and inadvertently create data siloes across the organization because of the manual nature of the process.

Finance 52

Finance Business Intelligence Reporting Visualization 52

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

Analytics 140

Analytics Machine Learning Insurance Testing 140

Jet Global

MAY 1, 2020

Reassuringly, the remainder are more data driven, for example, 30% actively employ business intelligence and data visualisation tools to drive insight but, even here, the effort is confined to operational silos and so these finance functions fail to take advantage of the synergies provided by a more holistic approach.

Finance 78

Finance Analytics Forecasting Reporting 78

Sisense

JUNE 9, 2021

Like pretty much everything else in the world, football has become more data-driven than ever, so when the 24 teams set out to win the championship on 11 June , you can bet your bottom Euro that each team’s tactics, formation, and training will be shaped by a mountain of data. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

CIO Business Intelligence

NOVEMBER 9, 2022

Data-informed decision-making is a key attribute of the modern digital business. But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities.

Analytics 129

Analytics Slice and Dice Metrics Sales 129

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

Alation

FEBRUARY 13, 2020

After 116 years in business, legendary guitar maker Gibson filed for bankruptcy in 2018. It requires organizations to adopt a scientific mindset of testing and iteration to find the truth, rather than using data to support a predetermined path. Too much emphasis on technology and too little emphasis on creating a data culture. “We

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

AWS Big Data

DECEMBER 8, 2023

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

Sisense

APRIL 7, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data.

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

Sisense

DECEMBER 18, 2019

Sisense News is your home for new Sisense features, add-ons, and everything else we roll out to empower our users to get the most out of their data. One of the first ways to visualize data was through VisiCalc (1979), then Lotus (1983), and finally Excel sheets (1987). There’s always something brewing here.

Visualization 78

Visualization Analytics Business Intelligence Software 78

Alation

FEBRUARY 13, 2020

Just like Spell Check prompts you as you’re writing—or like Waze nudges you as you’re driving—TrustCheck guides you to desired behavior while ensuring accuracy as you’re creating a query or a dashboard. As a result, self-service analytics users instantly know whether the data asset or query logic they’re looking at is trustworthy or not.

Dashboards 52

Dashboards Data-driven Visualization Data Quality 52

Alation

APRIL 12, 2022

In 2002, Capital One became the first company to appoint a Chief Data Officer (CDO). Early CDOs largely sought to ensure compliance with regulations around financial data, taking a defensive posture to guard company and customer information. Today, the modern CDO drives the data strategy for the entire organization.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? Course 1: Data Visualization Design Principles . We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40

Occam's Razor

JULY 24, 2018

The result is analytical strategies that are uninformed by reality, and driven new tool features, random expert recommendations and shiny objects ( OMG we have to get offline attribution! ). Diving a bit deeper into the x-axis… While most data can be collected in real-time now, not all metrics are useful in real-time.

Analytics 93

Analytics Metrics Strategy Measurement 93

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