O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture.

Management 363

Management Machine Learning Experimentation Metrics 363

datapine

MAY 20, 2020

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. Whether you’re looking at consumer management dashboards and reports, every CRM dashboard template you use should be optimal in terms of design.

Dashboards 265

Dashboards Reporting KPI Visualization 265

AWS Big Data

DECEMBER 12, 2024

One-time and complex queries are two common scenarios in enterprise data analytics. Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios.

Snapshot 98

Snapshot Recreation/Entertainment Experimentation Data Lake 98

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. Get the latest insights by signing up for our newsletters. ]

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

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

DECEMBER 19, 2024

Government agencies and nonprofits also seek IT talent for environmental data analysis and policy development. IT professionals with expertise in cloud architecture and optimization are needed to ensure these systems are scalable, efficient, and capable of real-time environmental monitoring, Breckenridge says.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Transforming data into value What is a data scientist?

Data Science 127

Data Science Machine Learning Predictive Modeling Forecasting 127

DataKitchen

DECEMBER 1, 2022

And finally, it’s about assisting organizations in creating a culture of experimentation where failure is okay because you know you’ll have the proper data infrastructure, processes, and policies to quickly identify and mitigate any issues.

Experimentation 130

Experimentation Data-driven Optimization Risk 130

Smart Data Collective

JUNE 29, 2022

You can get even more value from email marketing if you leverage data strategically. Here are 10 essential strategies for email marketing success with data analytics. You will need to test different CTAs, which is going to require data analytics tools. Email marketing is all about experimentation.

B2B 124

B2B Data-driven Marketing Strategy 124

CIO Business Intelligence

NOVEMBER 2, 2023

“Awareness of FinOps practices and the maturity of software that can automate cloud optimization activities have helped enterprises get a better understanding of key cost drivers,” McCarthy says, referring to the practice of blending finance and cloud operations to optimize cloud spend.

Strategy 140

Strategy Data Processing Experimentation Optimization 140

CIO Business Intelligence

JULY 7, 2023

“IT teams can enhance employee experience without compromising good governance and security controls by ensuring a good balance between usability, productivity, and the safeguarding of an organization’s data and digital assets. They are expected to make smarter and faster decisions using data, analytics, and machine learning models.

Measurement 122

Measurement Risk Experimentation Enterprise 122

CIO Business Intelligence

DECEMBER 6, 2023

In consequence, there is a direct impact on lower energy costs, a reduction in the carbon footprint, decreased production waste costs, and increased utilization of equipment and workforce through data-driven planning and operations management.”

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

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. Just-in-Time” manufacturing increases production while optimizing resources.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Octopai

MAY 2, 2022

Data analytics ain’t what it used to be. As a data analyst, you’re no longer just providing data analytics services. You’re providing data analytics products. . Today, your business users have the same perspective on data analytics. Lean manufacturing principle #1: jidoka.

Manufacturing 98

Manufacturing Testing Data Quality Dashboards 98

Sisense

JULY 24, 2019

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. NLQ can serve both of those experiences using an analytic moment or an exploration mode.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Smart Data Collective

APRIL 23, 2019

Big data is playing a vital role in productivity optimization in virtually every industry. Countless new tools rely on big data to streamline productivity. Big Data Makes Productivity Technology a Thing of the Future. The good news is that new data analytics tools have helped simplify productivity tracking.

Big Data 86

Big Data Measurement Experimentation Reporting 86

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

JULY 20, 2023

Determining optimal table partitioning Determining optimal partitioning for each table is very important in order to optimize query performance and minimize the impact on teams querying the tables when partitioning changes. The following diagram illustrates the solution architecture. Orca addressed this in several ways.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

JUNE 20, 2023

Data scientists can reduce the time spent preparing and copying datasets, and instead focus on data feature engineering, experimentation, and analyzing data at scale. Solution overview Data scientists are generally accustomed to working with large datasets. Mikhail specializes in data analytics services.

Data Lake 103

Data Lake Data Science Recreation/Entertainment Data-driven 103

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

IBM Big Data Hub

OCTOBER 20, 2023

This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

AWS Big Data

JUNE 12, 2024

Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. This module is experimental and under active development and may have changes that aren’t backward compatible.

Data Architecture 115

Data Architecture Cost-Benefit Data-driven Experimentation 115

DataRobot Blog

SEPTEMBER 22, 2022

After a successful Proof of Value, French insurance giant Matmut was able to automate its manual predictive analytics process using DataRobot AI Cloud. CPAM Loire-Atlantique leveraged DataRobot to better understand the “work stopped” compensation system to optimize their workforce and streamline costs.

Big Data 52

Big Data Insurance Experimentation Data Science 52

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

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. In this post, we share how we built a well-governed and scalable data engineering platform using Amazon EMR for financial features generation.

Interactive 110

Interactive Strategy Cost-Benefit Data Governance 110

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. You can select a hybrid integration strategy that aligns with your organization’s business strategy to meet the needs of your data consumers wanting to access and utilize the data. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Data Processing Slice and Dice Data Lake 52

AWS Big Data

OCTOBER 4, 2023

Subscribe workflow with access management – The subscription workflow secures data between producers and consumers to verify only the right data is accessed by the right users for the right purpose, enabling self-service data analytics.

Metadata 118

Metadata Publishing Data Lake Data Governance 118

CIO Business Intelligence

APRIL 9, 2025

According to Fortune Business Insights approximately 67% of the global workforce has access to business intelligence (BI) tools, and 75% has access to data analytics software. Descriptive analytics supplies the foundation of this approach, providing insight into past business performance by analyzing historical records.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Occam's Razor

DECEMBER 12, 2016

Instead, every company should solve for a global maxima… Yes, make the short-term money, it is necessary , but also do the but not sufficient part as well… The above optimal strategy indicates that the company leadership is forward-thinking. This is sub-optimal. Optimal Analytics Team Org Structure.

Analytics 142

Analytics Data-driven Strategy Consulting 142

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. Can you tell me a bit more about your role at Protegrity?

Insurance 150

Insurance Risk IoT Data-driven 150

Sisense

JANUARY 7, 2020

Internally, we were no longer keeping Periscope Data and Sisense separate products in our long-term vision and we wanted to make the external conversations we were having consistent. To reinforce that cohesion, we renamed Periscope Data as Sisense for Cloud Data Teams.

Experimentation 93

Experimentation Data Analytics Optimization Marketing 93

O'Reilly on Data

SEPTEMBER 11, 2019

Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. This is noteworthy for several reasons: first, the top three terms in our data set relate in one way or another to ML. Each has different “expectations” about the motion of the data it consumes.

IoT 25

IoT Big Data Data Warehouse Uncertainty 25

CIO Business Intelligence

APRIL 22, 2025

The IQ paradigm: Transactional efficiency The IQ paradigm is driven by skilled leaders who excel at optimizing the present ensuring operational efficiency, streamlining processes and maintaining the status quo. IT leaders must foster an environment of experimentation and agility, where continuous innovation is the norm, not the exception.

Technology 106

Technology Uncertainty Experimentation Risk Management 106

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

The challenge LaunchDarkly has a mission to enable high-velocity teams to release, monitor, and optimize software in production. The centralized data team is responsible for tracking how LaunchDarkly is progressing toward that mission. The following diagram illustrates the DAG and task deployment flows.

Experimentation 62

Experimentation Cost-Benefit Management Optimization 62