Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Data Lake 76

Data Lake Cost-Benefit Digital Transformation Risk 76

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty.

Management 327

Management Machine Learning Experimentation Metrics 327

CIO Business Intelligence

MARCH 20, 2023

As organizations face macroeconomic uncertainty and rapid changes to market conditions, collaboration between IT and business units are crucial to making those transitions quickly and smoothly. More than a quarter of CEOs want CIOs to upgrade IT and data security to reduce corporate risk in the next 12 months, according to the survey.

IT 98

IT Digital Transformation Uncertainty Reporting 98

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

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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. Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Using data to build a more resilient supply chain.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

CIO Business Intelligence

JUNE 22, 2022

Support the vision with risk and security management. Drive insight with data-driven visualization. In the process of trying to better understand our customers and their needs, we collect a lot of data about them. The privacy of customers is very important and therefore we need to ensure that all data is well protected.

Digital Transformation 100

Digital Transformation Visualization Technology Marketing 100

Jet Global

JUNE 28, 2022

We’re also seeing greater volatility in global events, uncertainty in global trade policies, and more. The reputational risks associated with regulatory audits and last minute scrambles to complete tax returns are too great, and the upside for truly managing the ‘data behind the numbers’ is now simply too large to ignore.

Software 52

Software Forecasting Reporting Finance 52

Jet Global

JANUARY 31, 2022

Three of the most important of these are: cloud migration, data standardization, and interoperability. In the case of data standardization, silos of information held by different teams are being replaced by single common datasets that underpin every process and are updated in real-time. Transfer Pricing at an Inflexion Point.

Finance 52

Finance Technology Recreation/Entertainment Reporting 52

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