Occam's Razor

SEPTEMBER 30, 2013

We'll start with digital at the highest strategic level, which leads us into content marketing, from there it is a quick hop over to the challenge of metrics and silos, followed by a recommendation to optimize for the global maxima, and we end with the last two visuals that cover social investment and social content strategy.

Marketing Analytics 156

Marketing Analytics Marketing Visualization Analytics 156

CIO Business Intelligence

APRIL 18, 2022

They use dashboards to monitor value. Companies that make effective use of dashboards are more likely to succeed at digital transformation, according to a new brief from the MIT Center for Information Systems Research. They invest in cloud experimentation. This will elevate digital trust.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. We find it helpful to think of data operations as a factory.

Testing 152

Testing Dashboards Measurement Experimentation 152

AWS Big Data

FEBRUARY 12, 2024

By leveraging the Amazon Redshift materialized views, Gupshup has been able to dramatically improve query performance on recurring and predictable workloads, such as dashboard queries from Business Intelligence (BI) tools. They also use Redshift to directly power some of their high-concurrency dashboards.

Analytics 113

Analytics Data Warehouse Snapshot Cost-Benefit 113

Occam's Razor

JANUARY 7, 2014

In service of report creation the job includes: Pulling data, writing queries, fulfilling ad-hoc requests, scheduling data outputs (reports, dashboards), liaising with script implementers / IT teams to collect more data, etc. So insist that no piece of data (report, dashboard, sexy table) will ever be presented without relevant segmentation.

Data-driven 142

Data-driven Consulting Reporting Marketing 142

CIO Business Intelligence

APRIL 2, 2024

When devops teams release changes to applications, dashboards, and other technology capabilities, end-users experience a productivity dip before people effectively leverage new capabilities. This dip delays when the business can start realizing the value delivered.

Management 140

Management Digital Transformation Testing Experimentation 140

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 95

Analytics Metrics Strategy Measurement 95

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. Another pattern that I’ve seen in good PMs is that they’re very metric-driven.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. It is not that hard.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

Cloudera

APRIL 9, 2021

Reporting – data warehousing & dashboarding. 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. Here are the key stages: . Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

MAY 17, 2024

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. No automation: Security professionals identify and address incidents and problems manually through dashboards. Why move to cloud?

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

DataRobot Blog

FEBRUARY 28, 2023

They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation. When the training process is complete, DataRobot will recommend the best-performing model for production based on the selected metric and provide an explanation. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

Domino Data Lab

JUNE 10, 2020

It establishes a consistent approach for monitoring across teams and models so you can break down departmental silos, eliminate inconsistent or infrequent monitoring practices, and establish a standard for model health metrics across your organization. In Domino 4.2

Data Science 82

Data Science Enterprise Experimentation Modeling 82

Occam's Razor

NOVEMBER 13, 2009

Chapter 3 The Awesome World of Clickstream Analysis: Metrics. The second half shows exactly how to pick the best metrics for your org and, my absolute favorite (Page 64), how to diagnose the root cause of a metrics performance. Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation. A good thing.

Analytics 71

Analytics Metrics Measurement Testing 71

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). Immediately actionable web analytics (your biggest worries covered). It is a book about Web Analytics 2.0.

Analytics 60

Analytics Metrics Marketing Dashboards 60

AWS Big Data

JANUARY 9, 2024

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches. This functionality was initially released as experimental in OpenSearch Service version 2.4, This is also called embedding the text into the vector space.

Visualization 106

Visualization Cost-Benefit Modeling Machine Learning 106

Sisense

MAY 18, 2021

When you discover data that means something, you need to be agile enough to make experimental changes.”. These visuals are often used to build dashboards, which allow users to view crucial data all in one place, and they are customizable based on each user and their needs. Mistake #3: Making vanity metrics your main event.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

IBM Big Data Hub

SEPTEMBER 25, 2023

For example, Uber has created a dashboard called Restaurant Manager in which restaurant owners can look at orders in real time as they are coming into their restaurants. Data Exploration and Innovation: The flexibility of Presto has encouraged data exploration and experimentation at Uber.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

FineReport

APRIL 24, 2024

Whether it’s identifying market trends, analyzing performance metrics, or understanding scientific findings, visual representations empower decision-makers to act with confidence. Each of these tools has its strengths, such as interactive dashboards , robust data connectivity, and advanced customization options.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output. What DataOps best practices put you on track to achieving this ideal?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation. Mobile content consumption, behavior along key metrics (time, bounces etc.) And again, a custom set of metrics.

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

JULY 26, 2010

Look at your most important work / report / dashboard. PALM: People Against Lonely Metrics]. So why not your metrics? We do reports / dashboards like this one all the time: Ok great. This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. If towards the end of the week/month your ACT was going to look terrible on your Manager’s dashboard, calls were picked up and hung up right away. The success metric, ACT, did go down.

Key Performance Indicator 107

Key Performance Indicator Metrics Measurement Advertising 107

Occam's Razor

MARCH 23, 2010

Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. If you don't kill 25% of your metrics each year, you are doing something wrong. So why should your reports, dashboard, measurement priorities and "Measurable Success Factors" stay stagnant?

Analytics 119

Analytics Consulting Metrics Experimentation 119

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. The "Action Dashboard" (An Alternative To Crappy Dashboards). "Engagement" Is Not A Metric, It's An Excuse. Five Rules for High Impact Web Analytics Dashboards. How do I choose well? How to focus?"

KPI 125

KPI Metrics Measurement ROI 125

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. And for good reason!

Experimentation 62

Experimentation Testing Statistics Metrics 62

Occam's Razor

JANUARY 9, 2012

" "My dashboard should have Page Views and Exit Rate!" If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? Fill it with the best web metrics to measure success.

Marketing 142

Marketing B2B Measurement Risk 142

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? You can easily see that now my dashboard is simpler. For most of us, you plus the CMO/equivalent.]. We are both aligned.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. And this has to be a continuous approach and not discreet.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

MAY 18, 2010

But a typical set of metrics you'll evaluate will hopefully represent a spectrum of success, like for example. Don't focus specifically on the metrics I have used above but rather the thought process behind their selection. In dashboard examples look for Stratigent_Sample_Dashboard.xls, via my friend Bill Bruno at Stratigent.

Analytics 124

Analytics Key Performance Indicator Metrics Measurement 124

Occam's Razor

JULY 6, 2016

Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards. They are all things I love and have repeatedly asked you to care for. and get stuff fixed. Testing Kills/Delays Good Ideas.

Testing 87

Testing Marketing Experimentation Cost-Benefit 87

O'Reilly on Data

APRIL 15, 2025

Teams get caught up in architecture diagrams, frameworks, and dashboards while neglecting the process of actually understanding whats working and what isnt. Generic metrics are worse than uselessthey actively impede progress in two ways: First, they create a false sense of measurement and progress.

Experimentation 318

Experimentation Testing Metrics Measurement 318