BizAcuity

MARCH 25, 2019

Revenue Analytics is simple terms can be defined as a set of decisions support tools that help finance and contracting professionals in making informed decisions based on reliable insights. Revenue Analytics in Event Industry – An Overview. Without this information, revenue analytics are worthless.

Analytics 74

Analytics Dashboards Sales Marketing 74

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

Smart Data Collective

FEBRUARY 23, 2021

We have talked extensively about the multitude of benefits that big data provides to companies in every sector. While most of our discussions focus around the financial benefits of data technology to these organizations, there are some more holistic advantages as well. Aiming to support the 2.1 Stop and Think SAFE.

Big Data 96

Big Data Advertising Data-driven Technology 96

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” The inherent capabilities of AI–to process vast amounts of data and use learned intelligence to make decisions with extraordinary speed–enable opportunities uncovered through digital listening. McKinsey & Company’s 2022 Global Survey on AI says , “AI adoption globally is 2.5x

Advertising 82

Advertising Recreation/Entertainment Experimentation Enterprise 82

Alation

JUNE 23, 2022

Alation has been named the #1 data catalog in Dresner’s 2022 Wisdom of Crowds report for the sixth consecutive year! To arrive at a ranking, report authors interviewed and surveyed real data catalog users. In this way, report authors have furnished a useful buyer’s guide for prospective data catalog users. Key findings.

Reporting 52

Reporting Data Governance Data-driven Digital Transformation 52

Smart Data Collective

JULY 17, 2019

Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. In 2017, the number of seniors over the age of 65 reached a record 1 billion people. The benefits of this are threefold: Artificial intelligence-driven robots reduce the need for human workers.

Cost-Benefit 84

Cost-Benefit Machine Learning Advertising IoT 84

Cloudera

SEPTEMBER 10, 2021

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown.

Machine Learning 69

Machine Learning Statistics Data-driven Big Data 69

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Modern data warehousing. Grow your business.

Machine Learning 41

Machine Learning Predictive Analytics Data-driven Data Science 41

Jet Global

OCTOBER 8, 2020

Most operational finance activities are driven by the month end and ledger close, typically involving a web of steps including transaction processing, reconciliation, journal entry capture, and financial statement preparation. It also decreases the risk of errors by eliminating disjointed, manual processes.

Finance 98

Finance Reporting Forecasting Metrics 98

Data Insight

APRIL 15, 2019

By Carmen Vicelich, Data Insight CEO Background: The ‘WannaCry’ Cyber Attack of 2017 This week’s global cyberattack on hundreds of thousands of businesses is yet another reminder of the importance of business data security. But with data comes risk.

Risk 40

Risk Insurance Data-driven Big Data 40

IBM Big Data Hub

JULY 19, 2023

This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more.

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. The evolution from Data Governance 1.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

bridgei2i

FEBRUARY 8, 2019

A 2017 white paper produced by Harvard Business Review in collaboration with Apttus states that “B2B revenue generation processes offer huge opportunities to benefit from the (AI) technologies.” Fortunately, AI is here to help, with algorithms that predict opportunities with a high chance of closing and those that are at high risk.

Sales 40

Sales B2B Cost-Benefit Structured Data 40

Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 98

Risk Marketing Risk Management Data-driven 98

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 142

Analytics Machine Learning Insurance Testing 142

DataRobot Blog

MAY 25, 2022

The DataRobot AI Cloud Platform can also help identify infrastructure and buildings at risk of damage from natural disasters. In 2017, Hurricane Harvey struck the U.S. DataRobot combines these datasets and data types into one training dataset used to build models for predicting whether a building will be damaged in the hurricane.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. Unlike labels, embeddings are learned from the training data, not produced by humans.

IT 271

IT Modeling Testing Risk 271

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “AI,” meanwhile, is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Jet Global

JULY 29, 2020

For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Note that extended support for Oracle Discoverer ended in 2017. There is a significant risk with unsupported products. Real-Time Reporting Solutions for Oracle EBS.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Peter James Thomas

AUGUST 30, 2018

Based on Kaggle’s State of Data Science Survey 2017 (Sample size: 10,153). The text in the above exhibit is not that clear [2] , so here are the 20 top challenges [3] faced by those running Data Science teams in human-readable form: #. Dirty Data. Lack of Data Science talent in the organization.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. M&A volume climbed from $3.26

Technology 141

Technology Enterprise Consulting Software 141

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MARCH 2, 2022

ESG reporting is the process of disclosing data by a company or organization about its environmental, social, and governance impacts. Privacy and data security. As such, there are no formal requirements that require companies and organizations to report and provide their ESG data. What is ESG Reporting? Social opportunity.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Jet Global

SEPTEMBER 26, 2023

He specializes in process reengineering and risk reduction. John Lawrence, Partner & CFO, Wavecrest Growth Partners: Lawrence, a Partner & CFO at Wavecrest since 2017, previously ran a consulting firm and served as CFO for private equity and venture capital firms. Knowing where your cash is, and what is the excess cash.

Marketing 52

Marketing Finance Reporting Operational Reporting 52