Occam's Razor

MARCH 23, 2021

Analytics teams are named for the silos and limitations within which they trap themselves. Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. The above-observed realities were on my mind as I took on a new role to lead Global Strategic Analytics. Paid Media.

Analytics 131

Analytics Scorecard Strategy Testing 131

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

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. With DataOps, data teams can ship data analytics systems faster and more confidently.

Experimentation 130

Experimentation Data-driven Risk Optimization 130

Decision Management Solutions

MARCH 26, 2020

We’ve been blogging recently on Decision Optimization. The Customer Journey to Decision Optimization. Those trying to improve and optimize their decisions report various challenges. Experimentation at the beginning of your journey is essential to make sure you understand where you are starting.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. Using AI to its Fullest.

Analytics 89

Analytics Experimentation Metadata Big Data 89

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. What is a data scientist? Learn from data scientists about their responsibilities and find out how to launch a data science career. |

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

CIO Business Intelligence

DECEMBER 6, 2023

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. Energy optimization is another key aspect of DS Smith’s data and sustainability pipeline, the CIO says.

Manufacturing 84

Manufacturing Data Lake Digital Transformation Machine Learning 84

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. Let’s take a look.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants. Smart manufacturing at scale is a challenge.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

AWS Big Data

NOVEMBER 2, 2023

Solution overview GoDaddy’s intelligent compute platform envisions simplification of compute operations for all personas, without limiting power users, to ensure out-of-box cost and performance optimization for data and ML workloads. Ozcan Ilikhan is a Director of Engineering on Data & Analytics (DnA) organization at GoDaddy.

Cost-Benefit 87

Cost-Benefit Big Data Testing Optimization 87

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. You're choosing only one metric because you want to optimize it.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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 133

Strategy Data Processing Experimentation Optimization 133

Occam's Razor

JULY 24, 2018

The universe of digital analytics is massive and can seem as complex as the cosmic universe. Even simple questions like “ How effective is our analytics strategy? Soon, your digital analytics strategic framework that you hoped would provide a true north to the analytics strategy question looks like this ….

Analytics 93

Analytics Metrics Strategy Measurement 93

Smart Data Collective

JUNE 29, 2022

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. You want to use these analytics interfaces to optimize your CTAs for the best CTR and conversion rates. Email marketing is all about experimentation.

B2B 102

B2B Data-driven Marketing Strategy 102

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. To effectively address this priority, organizations must focus on developing and executing comprehensive strategies that encompass several key aspects, such as data classification, security, and resource optimization.”

Cost-Benefit 137

Cost-Benefit Digital Transformation Consulting Strategy 137

CIO Business Intelligence

FEBRUARY 21, 2023

For Heineken’s global CIO Ing Yan Ong, the journey to keep a historic beer brand relevant starts with simplifying ERP, adopting agile methodologies and rethinking customer and supplier relationships in an age of digital analytics and personalized communications. There’s also a growing emphasis on improving team performance.

Digital Transformation 100

Digital Transformation Sales Experimentation Optimization 100

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 92

Digital Transformation Cost-Benefit Informatics Data mining 92

Cloudera

SEPTEMBER 17, 2020

A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle. All forms of data!

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

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. If you are still figuring out your analytics strategy, you are fighting the last war.

Management 332

Management Machine Learning Experimentation Metrics 332

Ontotext

JULY 6, 2023

The visualization and analytical interfaces help enterprises derive valuable business intelligence by connecting business abstractions like products, services and processes to the technical infrastructure that enables them. The solution also reduces incident response times, optimizes processes and streamlines asset management.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Platforms and practices not optimized for AI. The ability to track and share model facts and documentation across the organization provides backup for analytic decisions. ” ( Gartner AI in organizations survey.).

Metadata 100

Metadata Risk Risk Management Experimentation 100

CIO Business Intelligence

MAY 8, 2023

So it launched a collaboration with Chemical Abstract Services (CAS), a division of the American Chemistry Society, to leverage CAS SciFinder, which, unlike generic search engines, is optimized for searching for chemical molecules from an electronic catalog of more than 200 million compounds.

Manufacturing 72

Manufacturing Experimentation Digital Transformation Technology 72

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 82

Cost-Benefit Modeling Manufacturing Interactive 82

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. How do they do it – and what’s the application to data analytics products?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Cloudera

APRIL 9, 2021

And this blog will focus on Predictive Analytics. Predictive Analytics – AI & machine learning. To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Occam's Razor

OCTOBER 21, 2013

Following revelations of NSA activities via Mr. Snowden, Google has now switched almost all users to secure search, resulting in even more user search queries showing up as not provided in all web analytics tools. No keyword data in analytics tools. These changes impact my AdWords spend sub-optimally.

Optimization 154

Optimization Reporting Experimentation Metrics 154

DataRobot

JANUARY 13, 2022

To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups. This frees up data scientists to focus on more complex analytical tasks. Download Now.

ROI 52

ROI Machine Learning Experimentation Data Science 52

CIO Business Intelligence

JUNE 12, 2023

The vast majority of companies already have a structure for analytics and machine learning, so we’re already there; it doesn’t add much,” she adds. Of course, he says, it’s interesting to try something experimental, but investing requires greater commitment to the business case. It’s all called AI, she says.

Sales 52

Sales Machine Learning Experimentation Deep Learning 52

Cloudera

MARCH 2, 2022

Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Analytical SQL workloads use aggregates and joins heavily. Hence, optimizing such operators for both performance and efficiency in analytical engines like Impala can be very beneficial.

Data Warehouse 89

Data Warehouse Optimization Analytics Sales 89

Domino Data Lab

SEPTEMBER 10, 2020

Yet despite all this hard work, few models ever make it into production (VentureBeat AI concluded that just 13% of data science projects make it into production) and in terms of delivering value to the business, Gartner predicts that only 20% of analytics projects will deliver business outcomes that improve performance. What’s going on?

Modeling 101

Modeling IT Data Science Experimentation 101

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 114

Slice and Dice Cost-Benefit Risk Data Governance 114

Occam's Razor

DECEMBER 9, 2009

Specifically: Who owns web analytics / who it reports to from a org structure perspective. Let me hasten to add that this, web analytics ownership, does not exist in a vacuum. If your overall web business is misaligned from an org perspective then honestly there is no hope for you, regardless of where analytics sits.].

Analytics 95

Analytics Data-driven Marketing Sales 95

Ontotext

NOVEMBER 2, 2023

The data itself is stored in a way that is not optimal for extracting insight. This is the future of modern data and analytics and a critical enabler to getting more value and insight out of your data. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

FineReport

DECEMBER 11, 2019

– Lean Analytics: Use Data to Build a Better Startup Faster. The article is interspersed with rich columns and pictures, introduces the basic business principles in a simple way with real cases from many companies and entrepreneurs around the world. About methodology. By Alistair Croll and Benjamin Yoskovitz. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Occam's Razor

NOVEMBER 13, 2009

I am absolutely thrilled that my book Web Analytics 2.0 I only had one job, at Intuit, when I wrote my first web analytics book. The Pitch: I invite you to consider buying my second web analytics book. It is not just a business book, though every dna strand in this book is more about online marketing than online analytics.

Analytics 71

Analytics Metrics Measurement Testing 71