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. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

MARCH 22, 2018

Hard to believe, but we’ve arrived at the final day of Think 2018. It’s been thrilling to be part of the energy flowing through the Cloud & Data Campus. We’ve seen an unprecedented level of engagement around analytics and the future of data-driven decision-making. But we’re not done yet.

Data-driven 71

Data-driven Analytics 71

Corinium

JULY 31, 2019

I’ve worked as a marketing generalist, but my real passion is for data-driven marketing; using data insights focusing on acquisition, nurture, loyalty building & churn reduction. What was your biggest success for 2018? I’d have to say all the industry awards my programmes of work have won throughout 2018.

Data-driven 150

Data-driven Marketing Metrics Management 150

Cloudera

DECEMBER 21, 2020

In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared to the 250 million customers and average spend of US$124 in 2018. . Enhancing Online Customer Experience with Data .

Data-driven 93

Data-driven Data Strategy Strategy Cost-Benefit 93

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

O'Reilly on Data

APRIL 5, 2023

That’s because AI algorithms are trained on data. By its very nature, data is an artifact of something that happened in the past. Data is a relic–even if it’s only a few milliseconds old. When we decide which data to use and which data to discard, we are influenced by our innate biases and pre-existing beliefs.

Cost-Benefit 309

Cost-Benefit Data-driven Measurement Visualization 309

Cloudera

OCTOBER 26, 2023

We’ve all heard that data helps businesses make better decisions. This isn’t just speculation: research shows that companies who use data to drive decision making increase revenues by an average of more than 8%, are 23 times more likely to attract new customers, and are 19 times more likely to be profitable as a result. The good news?

Data-driven 77

Data-driven Predictive Analytics Forecasting Enterprise 77

Business Over Broadway

JANUARY 20, 2019

Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). Data scientists and machine learning engineers rely on programming languages to help them get insights from data.

Machine Learning 79

Machine Learning Data Science Data-driven Statistics 79

datapine

APRIL 2, 2019

Monitoring the business performance and tracking relevant insights in today’s digital age has empowered managers and c-level executives to obtain an invaluable volume of data that increases productivity and decreases costs. Let’s say you’re sitting on a meeting, presenting data to relevant stakeholders.

Scorecard 226

Scorecard KPI Dashboards Reporting 226

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. It is also used to make data more easily understood and secure.

Data Governance 105

Data Governance Data-driven Cost-Benefit Metadata 105

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

Peter James Thomas

APRIL 9, 2019

Despite starting to write this piece on 18 th December 2018, I have somehow sneaked into the second quarter before getting round to completing it. Anyway, 2018 was a record-breaking year for peterjamesthomas.com. These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science.

Data-driven 49

Data-driven Statistics Data Science Big Data 49

Bruno Aziza

JANUARY 2, 2018

Whether it is data-driven marketing, sports analytics, political campaigns, or national security threats, data has become central to any type of informed analysis and plan of action.

Big Data 75

Big Data Data-driven Marketing Analytics 75

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 124

Data Lake IT Experimentation Data-driven 124

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

Enterprise 342

Enterprise Modeling Testing Reporting 342

Smart Data Collective

JANUARY 14, 2021

It is no secret that email technology has then significantly shaped by new developments with big data. We have talked extensively about the benefits of using big data in the field of email marketing. However, there are plenty of other novel data technology applications that email providers are rolling out.

Big Data 132

Big Data Machine Learning Data-driven Predictive Analytics 132

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 136

Marketing Data Analytics Analytics Big Data 136

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

Rocket-Powered Data Science

AUGUST 1, 2018

In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). As Dez Blanchfield once said , “You don’t need a data scientist to tell you big data is valuable. What does data make possible?

Big Data 105

Big Data Machine Learning Data-driven Data Science 105

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

CIO Business Intelligence

SEPTEMBER 5, 2024

The new era of networks Ruckus builds and delivers purpose-driven networks that perform in the world’s most challenging environments. In 2018, Ruckus IoT Suite, a new approach to building access networks to support IoT deployments was launched. It has now grown significantly, becoming a US$ 5.09

IoT 119

IoT Internet of Things Manufacturing Data-driven 119

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

B2B 105

B2B Contextual Data Deep Learning IoT 105

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . Not surprisingly, the respondents that shaped the 2018 report ranked regulatory compliance as the No.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Smart Data Collective

NOVEMBER 12, 2021

As far back as 2018, a veritable eternity in the world of online marketing, over 80% of marketing organizations reported the deployment or growth of their AI and machine learning efforts. This is the same kind of data that can take hours or work or a lot of luck to uncover manually.

Machine Learning 145

Machine Learning Marketing Testing Advertising 145

Sisense

FEBRUARY 9, 2021

In 2018, we received clearance from the FDA for the first automated movement designed for the CorPath GRX platform called ‘Rotate on Retract’ (RoR),” explained Doug Teany, Chief Operating Officer at Corindus. Data-driven health care. Data is the most valuable commodity in medicine,” Doug said.

Data-driven 144

Data-driven Optimization Risk Strategy 144

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

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 131

Testing Behavioral Analytics Data-driven Big Data 131

Smart Data Collective

SEPTEMBER 30, 2022

The landscape of blockchain-driven solutions: from 2018 to 2022. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. Roughly speaking, ad fraud takes $1 from $5 invested in digital ads.

Advertising 145

Advertising Marketing Technology Uncertainty 145

CIO Business Intelligence

JUNE 3, 2022

Issues around supply chain, often driven by semiconductor shortages, remain the top concern for most industry sectors despite talks of the pandemic slowing down, according to a report from electronic components and semiconductor distributor, Avnet Silica.

Manufacturing 119

Manufacturing Reporting Consulting Data-driven 119

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Given this, Oppenheimer & Co. Complexity.

Data Governance 110

Data Governance Management Metadata Risk Management 110

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 144

Metrics Measurement Recreation/Entertainment Data Collection 144

Cloudera

FEBRUARY 14, 2018

I’ve spent the last four years here at Cloudera talking with our customers about how to run their businesses better using their data and Cloudera’s products and services. Now I get to put my money where my mouth is – and turn my focus internally on how we at Cloudera can become more data-driven. The first is visibility.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. As the demand for cybersecurity solutions grows, the need for data-savvy experts will rise accordingly. Categorizing data.

Big Data 126

Big Data Technology Testing Cost-Benefit 126

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 145

Analytics Machine Learning Insurance Testing 145

Cloudera

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures. As a result, it’s getting ??progressively

Data Architecture 107

Data Architecture Data-driven Data Warehouse Cost-Benefit 107

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122