CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Jet Global

FEBRUARY 8, 2023

. – February 8, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Power ON , a US-based software company that transforms Microsoft Power BI into a comprehensive planning and data collection solution.

Finance 59

Finance Data Collection Forecasting Software 59

Cloudera

SEPTEMBER 29, 2021

The Indian government has also been working towards going digital with the launch of Digital India in 2015, a campaign that sought to provide access to government services electronically. Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

Digital Transformation 83

Digital Transformation Data Governance Data-driven Machine Learning 83

IBM Big Data Hub

FEBRUARY 2, 2024

A 2023 report found that global investment in green or low-carbon energy sources exceeded USD $1 trillion, 1 while advanced data collection tools and artificial intelligence (AI) are helping to better monitor emissions and inform sustainability strategy. Today, sustainability efforts are being shaped by new urgency and new technology.

Optimization 85

Optimization Cost-Benefit Strategy Reporting 85

IBM Big Data Hub

FEBRUARY 7, 2024

The IBM Envizi ESG Suite , for example, can collect hundreds of data types efficiently, analyze data across silos and deliver audit-ready reports easily—a process that would otherwise be labor and cost intensive. Join the IBM Sustainability Community 1 Green transition creates $10.3T

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

Occam's Razor

MARCH 30, 2017

Yes, a silo but so much better than 2015. We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. Insane as it seems like, data collection should get sorted out in the next few years.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Occam's Razor

OCTOBER 12, 2017

There is one other video I want you to watch, from the 2015 edition. For Digital Analysts, it is creating data collection mechanisms, writing queries, creating reports, doing segmentation, creating rules, identifying business focus areas based on data etc. If you can only watch one… 1. Science or Fiction?

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Jet Global

AUGUST 4, 2023

Operational & Financial Planning in Power BI One tool that I feel can take Power BI to the next level is Power ON as it provides all the benefits of Power BI combined with the ability to do operational and financial planning thanks to its data entry, data-point comment, and write-back capabilities. You can decide for yourself.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

FineReport

MARCH 7, 2024

For instance, 42214 represents July 29, 2015. With flexible data queries, robust parameter settings, and a diverse range of chart styles, FineReport delivers a visually impactful and versatile reporting experience. Adjust the minimum value of the X-axis. In Excel, the numbers can be converted to dates.

Visualization 52

Visualization Reporting Software Business Intelligence 52

IBM Big Data Hub

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Andrew White

JANUARY 9, 2022

2015) and What is Wrong with Interoperability (in healthcare)? I would think a key importance would be how you generate and what data points are used to analyze especially if it is manually retrieved. Are their best practices on how to pin point the data points and most effective data collecting practices?

Analytics 64

Analytics Measurement Data-driven Modeling 64

Domino Data Lab

AUGUST 1, 2021

2015) for additional details. The surrogate model is often a simple linear model or a decision tree, which are innately interpretable, so the data collected from the perturbations and the corresponding class output can provide a good indication on what influences the model’s decision. See Wei et al. Bahdanau, D.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

FEBRUARY 9, 2015

How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool. CI data collection. How does any tool have access to your website or mobile app data? But in the lovely environment of the web there are a number of ways to collect your data.

Metrics 156

Metrics Reporting IT Advertising 156

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting. Then approach each separately (even though there are tools like Google Analytics that will do both). Tag your mobile website. Thank you.

Metrics 143

Metrics Reporting Analytics Marketing 143

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Friction ensued.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Rita Sallam

AUGUST 28, 2022

Solar power is being used successfully in many African nations, but data collection is poor and so hides the important social benefits of this energy source. In the five-year period since the 2015 paris climate agreement , developing economies have led the way in renewable energy generation, contributing over 70% to the overall change.

Analytics 52

Analytics Data Analytics Cost-Benefit Data-driven 52

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. 29, 2015, Republicans from the U.S. What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

CIO Business Intelligence

MAY 17, 2022

This incident, which provides insight into what can go wrong for any enterprise that has deployed AI without adequate data governance , is just the latest in a series of high-profile companies that have seen their AI-related PR disasters all over the front pages. In 2015, Google’s Photos app labeled pictures of black people as “gorillas.”

Risk 145

Risk Data Science Machine Learning Consulting 145

Timo Elliott

NOVEMBER 14, 2024

Real-World Examples of Greenwashing Some of the most notorious greenwashing scandals illustrate both deliberate deception and regulatory gray areas: Volkswagen’s Dieselgate: The automaker was fined over $25 billion in 2015 for equipping vehicles with devices that manipulated emissions tests. What Should Companies Do?

Advertising 59

Advertising Measurement Cost-Benefit Metrics 59

O'Reilly on Data

JUNE 16, 2020

Thinking in Bets , Annie Duke’s 2018 book about making decisions under uncertainty, has many analogous examples operating under both risk and uncertainty, such as the infamous 2015 Super Bowl XLIX Seahawks’ decision to pass the ball in the final 26 seconds.

Uncertainty 357

Uncertainty Testing Risk Reporting 357