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

Occam's Razor

JANUARY 9, 2012

Now here's another surprise: These rules/insights/mind shifts are not about data! Here's important context (before we get into the rules for revolutionaries)… The Fundamental Web Analytics Problem Is Not Data! Most companies are astonishingly blasé about data and possibilities of measurement.

Marketing 140

Marketing B2B Measurement Risk 140

CIO Business Intelligence

APRIL 22, 2022

The data tells us that cyberattacks occur every 39 seconds. To prevent malicious attacks, security assessments like penetration testing can help diminish risks by uncovering meaningful insights that highlight the weaknesses attackers can use to compromise your organization. By regularly testing for vulnerabilities, companies are 2.5

Risk 52

Risk Testing Data-driven Reporting 52

Jet Global

AUGUST 24, 2020

These applications have not only withstood the test of time in terms of form and function, they continue to serve a critical role in the businesses that rely on them every day. In today’s digital transformation environment, companies need their solutions to evolve with them and enable real-time insight throughout an organization.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

Smart Data Collective

JULY 25, 2019

The healthcare industry is happily embracing big data. Hospitals around the world are finding that data can have a profound impact on their operations. A lot of the emphasis so far has been on the use of big data to better engage with external third-parties, but big data can be equally valuable for managing internal hospital systems.

Big Data 96

Big Data Data Transformation Management Software 96

datapine

DECEMBER 28, 2021

Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! 29, 2015, Republicans from the U.S. What Is A Misleading Statistic? Scientists!

Statistics 363

Statistics Advertising Visualization Data mining 363

AWS Big Data

JUNE 6, 2023

SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. Unless, of course, the rest of their data also resides in the Google Cloud. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data.

Analytics 55

Analytics Data Lake Testing Optimization 55

Cloudera

JUNE 2, 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. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 102

Enterprise Data Lake Data Collection Data-driven 102

CIO Business Intelligence

JULY 6, 2023

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. The group was able to automate one process and then expanded the effort from there, according to Mark Austin, vice president of data science.

Cost-Benefit 111

Cost-Benefit Technology Unstructured Data Testing 111

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

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 140

Technology Enterprise Consulting Software 140

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Jen Stirrup

OCTOBER 21, 2019

I am mentoring and leading them, while delivering the project, setting a vision, generating and implementing data strategies, and slowly helping to mould the culture to be more data-driven as well as insight-driven. Davies Review (2015 ) I mproving the Gender Balance on British Boards. Further Reading. Franklin, J.

Data-driven 49

Data-driven Marketing Testing Management 49

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

Data Science 54

Data Science Machine Learning Cost-Benefit Deep Learning 54

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. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 59

Enterprise Data Lake Data Collection Data-driven 59

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

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

FEBRUARY 1, 2023

This data is used in procuring devices’ inventory to meet Amazon customers’ demands. With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

AUGUST 6, 2018

In recent years, we have heard a great deal about how new and sophisticated understanding of how to interpret the onslaught of data produced in the modern age could help us turn the corner on major social and environmental problems. While we have been using data to improve philanthropy for years, a great deal has changed very quickly.

Machine Learning 50

Machine Learning Internet of Things Cost-Benefit Data-driven 50

Sisense

FEBRUARY 24, 2021

Whatever a company does, how it uses data is a key differentiator in its success or failure. Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." Test for analytics experience AND explore the level of analytical thinking the job candidate possesses.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. When you analyze the data in Google Analytics (or Adobe or WebTrends or Webtrekk), this data will be in your Campaigns folder waiting for you to some pretty magnificent analysis. Tag your mobile website. Everything.

Metrics 141

Metrics Reporting Analytics Marketing 141

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.

Statistics 44

Statistics Optimization Modeling Experimentation 44