Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. There are many ways that data analytics can help e-commerce companies succeed. One benefit is that they can help with conversion rate optimization. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

CIO Business Intelligence

DECEMBER 6, 2023

Much of our digital agenda is around data. The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade. Before we were quite fragmented across different technologies.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

AWS Big Data

NOVEMBER 2, 2023

GoDaddy is a data-driven company, and getting meaningful insights from data helps us drive business decisions to delight our customers. At GoDaddy, we embarked on a journey to uncover the efficiency promises of AWS Graviton2 on Amazon EMR Serverless as part of our long-term vision for cost-effective intelligent computing.

Cost-Benefit 84

Cost-Benefit Big Data Testing Optimization 84

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

IBM Big Data Hub

NOVEMBER 3, 2023

As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making. Stream processing is at the core of real-time data. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

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

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The impact of these investments will become evident in the coming years.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

DECEMBER 14, 2023

Such lead times call for a large physical inventory of replacement parts, which comes with warehousing costs and the ad valorem tax of storage. Mathur says the data-driven nature of the solution will in time strengthen the capability. There had to be a better way,” says De Bernardi. These early wins are reason for optimism.

Manufacturing 100

Manufacturing Digital Transformation Experimentation Cost-Benefit 100

Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW? Install any library or framework (e.g.

Data Science 76

Data Science Machine Learning Experimentation Cost-Benefit 76

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

CIO Business Intelligence

JULY 31, 2023

To allow or not According to various news reports, some big-name companies initially blocked generative AI tools such as ChatGPT for various reasons, including concerns about protecting proprietary data. 1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US.

Strategy 98

Strategy Risk Enterprise Risk Management 98

Smart Data Collective

DECEMBER 30, 2020

Big data is playing an important role in many facets of modern business. One of the most important applications of big data technology lies with inventory management and optimization. Understanding the Best Data-Driven Inventory Optimization Applications for the Coming Year. Core $59, Pro $199, and Pro-Plus $359.

Data-driven 95

Data-driven Software Optimization Big Data 95

CIO Business Intelligence

APRIL 24, 2024

The first use of generative AI in companies tends to be for productivity improvements and cost cutting. But there are only so many costs that can be cut. CIOs are well positioned to cut costs since they’re usually well acquainted with a company’s digital processes, having helped set them up in the first place.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

Occam's Razor

JULY 6, 2016

Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! But, perhaps I'm at fault for creating the problem of you spending all your time with data.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier.

Data Warehouse 96

Data Warehouse Analytics Snapshot Cost-Benefit 96

Occam's Razor

SEPTEMBER 19, 2011

It is also important to point out that I am keeping the data simple purely to keep communication of the story straightforward. We'll measure Revenue, Profit (the money we make less cost of goods sold), Expense (cost of campaign), Net (bottom-line impact). What is missing in these numbers is the cost of… well you.

Measurement 119

Measurement Advertising Testing Marketing 119

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. That said, selecting a platform can be a challenging process, as the wrong system can drive increased costs as well as potentially limit the use of other valuable tools or technologies.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

DataRobot Blog

JANUARY 12, 2023

This service is managed by DataRobot and eliminates the time and cost of on-premises deployment, in addition to removing the challenges of deploying, upgrading, scaling, and managing an infrastructure in-house. Benefits of Seamless DataRobot AI and Google Cloud Services Integration. Delivering more than 1.4

Management 59

Management Data-driven ROI Cost-Benefit 59

DataRobot Blog

MARCH 16, 2023

Data scientists run experiments. To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. Then we explain the benefits of Amazon DataZone and walk you through key features.

Metadata 96

Metadata Data Lake Publishing Data Governance 96

datapine

FEBRUARY 4, 2020

Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive. First things first – organizing and prioritizing your marketing data.

Reporting 280

Reporting Marketing Advertising Metrics 280

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. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

NOVEMBER 14, 2023

Data is a key strategic asset for every organization, and every company is a data business at its core. However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

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. In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

OCTOBER 23, 2006

The title of my presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture – Lessons, Tips, Insights from a Practitioner. Seven Steps to Creating a Data Driven Decision Making Culture…… Slide 1: Decision Making Landscape. 2 Solve for the Trinity. #

Data-driven 117

Data-driven Metrics KPI Reporting 117

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Without large amounts of labeled training data solving most AI problems is not possible.

Management 110

Management Machine Learning Experimentation Metrics 110

AWS Big Data

JUNE 20, 2023

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Solution overview Data scientists are generally accustomed to working with large datasets.

Data Lake 70

Data Lake Data Science Recreation/Entertainment Experimentation 70

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

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. or "does this product change benefit users?"

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Occam's Razor

AUGUST 12, 2013

There are few things more complicated in analytics (all analytics, big data and huge data!) There is lots of missing data. And as if that were not enough, there is lots of unknowable data. And you are telling me that the Cost Per Acquisition for my display campaigns is not $201 but rather a lowly $155? " low.

Modeling 161

Modeling Optimization Marketing Interactive 161

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

by NIALL CARDIN, OMKAR MURALIDHARAN, and AMIR NAJMI When working with complex systems or phenomena, the data scientist must often operate with incomplete and provisional understanding, even as she works to advance the state of knowledge. There has been debate as to whether the term “data science” is necessary. Some don’t see the point.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45