Corinium

JUNE 6, 2019

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Sisense

MARCH 6, 2019

Gartner chose to group the rest of the keynote into three main messages according to the following categories: Here are some of the highlights as presented for each of them: Data Driven – “Adopt an Experimental Mindset”. At Sisense we’ve been preaching for BI prototyping and experimentation for quite a while now.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible.

Digital Transformation 143

Digital Transformation Machine Learning Experimentation Data-driven 143

CIO Business Intelligence

DECEMBER 19, 2024

While crucial, if organizations are only monitoring environmental metrics, they are missing critical pieces of a comprehensive environmental, social, and governance (ESG) program and are unable to fully understand their impacts. of survey respondents) and circular economy implementations (40.2%).

IT 52

IT IoT Machine Learning Optimization 52

Sisense

MAY 18, 2021

If marketing were an apple pie, data would be the apples — without data supporting your marketing program, it might look good from the outside, but inside it’s hollow. In a recent survey from Villanova University, 100% of marketers said data analytics has an essential role in marketing’s future.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

DataKitchen

OCTOBER 5, 2021

While car companies lowered costs using mass production, companies in 2021 put data engineers and data scientists on the assembly line. That’s the state of data analytics today. . Figure 2: Data operations can be conceptualized as a series of automated factory assembly lines. What is DataOps. Low error rates.

Testing 152

Testing Dashboards Measurement Experimentation 152

CIO Business Intelligence

APRIL 2, 2024

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. It’s like trying to get a jazz quartet, a rock band, a classical orchestra, and a DJ to play in harmony.”

Management 140

Management Digital Transformation Testing Experimentation 140

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. SPC tests can do the same thing for the data flowing through your pipelines.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Learn how to safeguard data and comply with changing laws, regulations, and operational requirements in Measuring Enterprise Information Governance Maturity.

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

Sisense

NOVEMBER 23, 2020

Alex Antic, voted as one of the top 10 analytics leaders in Australia by IAPA, and Sisense VP and GM of Cloud Data Teams, Scott Castle, recently discussed these findings, diving deep into how COVID presents countless challenges but also fresh opportunities for data analytics professionals. . Who is leading the way?

Analytics 98

Analytics Data-driven Marketing Reporting 98

AWS Big Data

JULY 20, 2023

Additionally, partition evolution enables experimentation with various partitioning strategies to optimize cost and performance without requiring a rewrite of the table’s data every time. Monitoring Amazon EMR was crucial because it played a vital role in the system for data ingestion, processing, and maintenance.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

DataRobot

APRIL 29, 2021

This list includes: Rachik Laouar is Head of Data Science for the Adecco Group. Rachik is working to transform that company’s products through data analytics and AI and will be speaking on the topic, Executive Track: Turning an Industry Upside Down. . Eric Weber is Head of Experimentation And Metrics for Yelp.

Machine Learning 59

Machine Learning Data Science Experimentation Data-driven 59

Sisense

JULY 1, 2021

Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics. We know in marketing that one of the most powerful ideas is experimentation,” Scott told Sisense.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

JANUARY 24, 2023

This post explains how to create a design that automatically backs up Amazon Simple Storage Service (Amazon S3), the AWS Glue Data Catalog, and Lake Formation permissions in different Regions and provides backup and restore options for disaster recovery. These mechanisms can be customized for your organization’s processes.

Data Architecture 96

Data Architecture Metadata Data Lake Snapshot 96

CIO Business Intelligence

AUGUST 5, 2024

Some important steps that need to be taken to monitor and address these issues include specific communication and documentation regarding GenAI usage parameters, real-time input and output logging, and consistent evaluation against performance metrics and benchmarks. To learn more, visit us here.

Experimentation 124

Experimentation Risk Metadata Data-driven 124

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Data-driven 150

Occam's Razor

DECEMBER 12, 2016

What one critical metric will help you clearly measure performance for each strategy above? How will you know if the performance was a success or failure, what's the target for each critical metric? What specific strategies are you currently leveraging to accomplish aforementioned objectives? You plus Finance plus CMO.].

Analytics 142

Analytics Data-driven Strategy Consulting 142

CIO Business Intelligence

FEBRUARY 3, 2023

The technology team has grown from 25 to 60 people over the last three years, with Hobbs now supported by heads of development, data, operations and digital performance, as well as a CISO and head of delivery. We used a security scorecard benchmark and said we could become the most secure global mint.”

IT 52

IT Experimentation Scorecard Digital Transformation 52

CIO Business Intelligence

FEBRUARY 21, 2024

But we also have teams responsible for data analytics, and teams of audio-visual experts to ensure our concert halls and event centers can support a range of activities. We developed a model to predict student outcomes based on metrics from historical evidence,” he says. “We

Recreation/Entertainment 135

Recreation/Entertainment Experimentation Data-driven Modeling 135

erwin

APRIL 30, 2025

When Moderna began developing its COVID-19 vaccine in early 2020, the company’s secret weapon wasn’t just its mRNA technology it was decades of meticulously valued and curated research data. This success story highlights a crucial truth: organizations that understand and value their data gain extraordinary competitive advantages.

Cost-Benefit 71

Cost-Benefit Data-driven Measurement Manufacturing 71

AWS Big Data

MAY 16, 2025

As the company grew, our data volume increased, and the complexity and use cases of our workloads expanded exponentially. Although a solution using Amazon EKS would improve the task provisioning time even further, the Amazon ECS solution met the latency requirements of the data analytics teams batch pipelines.

Experimentation 62

Experimentation Cost-Benefit Management Optimization 62