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

bridgei2i

JULY 28, 2020

We need people who can test. And monitor those models, software engineers, data analysts, system administrators, and then there’s that whole process of troubleshooting and debugging, which is huge because the system is not going to run perfectly. More efficient, more scalable systems are going to be able to handle more data.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

O'Reilly on Data

MAY 14, 2020

Feature Development and Data Management: This phase focuses on the inputs to a machine learning product; defining the features in the data that are relevant, and building the data pipelines that fuel the machine learning engine powering the product. Consumer Companies Versus B2B Companies.

Management 363

Management Experimentation B2B Machine Learning 363

Occam's Razor

JANUARY 6, 2010

We all have a tendency of getting caught in a rut, using the same tool to do the same things and spew forth the same data. Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: 1: Don't suck.

Analytics 99

Analytics IT Statistics Metrics 99

Occam's Razor

NOVEMBER 13, 2009

No dragging of the feet, the book starts with a bang by laying out the framework that will be the center of every company that will leverage data (qualitative, quantitative, competitive) on the web. The best WA report, segmentation, site search, SEO & PPC analysis, email, rich media, cookies, data sampling. I am out of breath!

Analytics 71

Analytics Metrics Measurement Testing 71

CIO Business Intelligence

MAY 13, 2024

Lawrence Bilker can easily articulate the business values that his IT initiatives should deliver: better experiences for both employees and customers, more insights from data to enable smarter decision-making, and more intelligence for improved operations. And CEOs are looking to CIOs to create those products.”

IT 131

IT Digital Transformation ROI Strategy 131

datapine

JUNE 13, 2019

So they taste test frequently throughout the whole process. Decide on a time period : that means that you can create a daily as well as a monthly report, or choose to display the data of the last quarter or year. They are specifically designed to ease your data and create compelling sales analysis reports in no time.

Sales 264

Sales Reporting KPI B2B 264

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

AWS Big Data

JUNE 30, 2023

Position 2 is a leading US-based growth marketing services provider focused on data-driven strategy and technology to deliver growth with improved return on investment (ROI). The team brings deep domain expertise in digital, B2B, B2C, analytics, technology, mobile, marketing automation, and UX/UI domain.

Marketing 52

Marketing Dashboards Advertising ROI 52

datapine

NOVEMBER 15, 2022

In an increasingly data-driven business world, the product management field isn’t exempt from this need. Online data analysis tools will help you sharpen your product sense and give more weight and credibility to the decisions you make and submit to stakeholders. Explore our 14-days free trial and boost your products using data!

Metrics 141

Metrics KPI Measurement Dashboards 141

Occam's Razor

OCTOBER 24, 2016

Culture is a stronger determinant of success with data than anything else. Including data. People + Process + Structure] > [Data + Technology]. You want to win big with data, with marketing, with transformative digital yada yada and blah blah, evolve. Step 6: Data-driven Attribution Modeling.

Metrics 146

Metrics Marketing Optimization Modeling 146

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

Sisense

SEPTEMBER 15, 2019

By capturing and analyzing more complex data about products, A/B testing can identify the effect small changes and new features have on engagement. Measuring product success requires asking highly contextual questions and rigorously applying data to find answers.

Analytics 72

Analytics Dashboards Sales Measurement 72

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. You only have to think about it for five seconds to realize it passes the ultimate test for everything: Common sense.

Modeling 161

Modeling Optimization Marketing Interactive 161

Occam's Razor

JANUARY 9, 2012

Now here's another surprise: These rules/insights/mind shifts are not about data! Here's important context (before we get into the rules for revolutionaries)… The Fundamental Web Analytics Problem Is Not Data! Most companies are astonishingly blasé about data and possibilities of measurement.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

MARCH 23, 2010

Javascript tag driven click data processed in the cloud provided through a web based front end that allows you to segment and create meaningful views of the data unique to you. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. This instant.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. When you analyze the data in Google Analytics (or Adobe or WebTrends or Webtrekk), this data will be in your Campaigns folder waiting for you to some pretty magnificent analysis. Tag your mobile website. Everything.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

NOVEMBER 15, 2010

What if I was given the login and password to someone's web analytics data and asked to "find something interesting?" " How would I start the process of web data analysis right? Even without any knowledge of the company's goals or help from a stubborn HiPPO or clients who just want data pukes?

Reporting 139

Reporting Metrics Strategy Measurement 139

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

AWS Big Data

DECEMBER 21, 2023

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava believes in and takes advantage of data-driven decisions in order to become the market leader. smava believes in and takes advantage of data-driven decisions in order to become the market leader.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52