datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

APRIL 13, 2021

Agency analytics is the process of taking data and transforming it into valuable insights that are then displayed with a professional agency dashboard. Agency analytics is the process of taking data and transforming it into valuable insights that are then displayed with a professional agency dashboard. What Are Agency Analytics?

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1 shows the four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Occam's Razor

JANUARY 12, 2015

But it is a lot less complicated than you might believe. A lot less complicated. Regardless of your experience in the space, I believe you'll find it to be of value. Our journey to understanding, dare I say nirvana, follow these steps: Digital Analytics Ecosystem: The Core Elements. And, yes, some of it is.

Analytics 151

Analytics Slice and Dice KPI Metrics 151

Occam's Razor

JULY 15, 2014

Dashboards are every where, we will look at a lot of them in this post and they are all digital. I'm sure the analyst in you (like me!) Yes, it does summarize data from many reports into one. Can you understand anything except the cursory superficial information? They are data pukes. They are data pukes.

Dashboards 160

Dashboards Key Performance Indicator Snapshot Slice and Dice 160

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

Occam's Razor

APRIL 2, 2012

A wise person said: "To guarantee success, spend 95% of your time defining the problem and 5% of the time solving it." In my life I spend an extraordinary amount of time understanding the problem and attempting to define it clearly. This is going to be a lot of fun. In case you were curious.

Modeling 154

Modeling Advertising Marketing Measurement 154

Occam's Razor

APRIL 5, 2010

Some Marketers / Analysts use Click-thru Rate (CTR) to measure success of their acquisition campaigns. A smaller percent of those Marketers / Web Analysts will move beyond clicks and measure Visits / Visitors and Bounce Rates to measure success. That is focusing finding the customers that create value for the company, long term.

Analytics 136

Analytics Marketing Measurement Metrics 136

Occam's Razor

OCTOBER 31, 2011

Data analysis is not easy. My plan is to wrap each tip with additional observations, context that will be of value even to those who have been at this game for a very long time. I love that the analyst is segmenting the data rather than showing the aggregate trend ("all data in aggregate is essentially crap" – me).

Statistics 131

Statistics Testing Reporting Key Performance Indicator 131

Occam's Razor

JUNE 6, 2011

Companies are starting to think innovatively about the web (no more unintelligent banner ads or digital "crimes against humanity" ), and they are starting to understand the power of data to delight customers and drive accountability. But neither role is that of a Web Analyst. The interest is not surprising.

Analytics 126

Analytics Consulting Statistics Marketing 126

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. What can analysts do, if anything, to overcome the multi-device challenge. They also reveal things that starting to become scary (Privacy! EU Cookies!) Just the questions total up to 1,353 words.

Modeling 125

Modeling Metrics Data Quality Data-driven 125

Occam's Razor

FEBRUARY 25, 2013

Analysts: Put up or shut up time! This blog is centered around creating incredible digital experiences powered by qualitative and quantitative data insights. Every post is about unleashing the power of digital analytics (the potent combination of data, systems, software and people). Isn't it amazing?

Analytics 143

Analytics ROI Marketing Modeling 143

Occam's Razor

FEBRUARY 20, 2012

The single biggest mistake web analysts make is working without purpose. We send out a lot of data. Almost always we dive into the ocean of data first. No impact from the data. Unfortunately a very tiny fraction of companies, or Analysts, want to put in this lifesaving effort up front. We work very hard.

IT 139

IT Measurement Marketing Metrics 139

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. Data presentation!

Visualization 145

Visualization Key Performance Indicator Dashboards Metrics 145

Occam's Razor

MARCH 19, 2018

I worry about data’s last-mile gap a lot. As a lover of data-influenced decision making, perhaps you worry as well. A lot of hard work has gone into collecting the requirements and implementation. Your biggest asset in closing that last-mile gap is the way you present the data. On a dashboard in Google Data Studio.

Visualization 132

Visualization B2B Dashboards Marketing 132

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]. The challenge for Senior Leaders is that revolutions seem a lot more attractive and hence they charge full speed ahead. Step 6: Data-driven Attribution Modeling.

Metrics 147

Metrics Marketing Optimization Modeling 147

Occam's Razor

MAY 14, 2012

A lot of digital analytics focuses on direct response (conversions, leads, etc.). It is sad that we spend so little time on brand analysis, primarily because 1. It is sad that we spend so little time on brand analysis, primarily because 1. So let's fix that problem in this blog post.

Measurement 129

Measurement Analytics Advertising Marketing 129

Occam's Razor

JUNE 8, 2006

I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. So what makes a great analyst?

KPI 94

KPI Measurement Statistics Metrics 94

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. The entire collection is available here.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Ontotext

DECEMBER 9, 2020

Stop wasting time building data access code manually, let the Ontotext Platform auto-generate a fast, flexible, and scalable GraphQL APIs over your RDF knowledge graph. Are you having difficulty joining your knowledge graph APIs with other data sources? If so, STOP and give Ontotext platform a try.

Modeling 130

Modeling Management Optimization Machine Learning 130

Alation

NOVEMBER 4, 2021

This happened for me a lot during my four startups. This week I was talking to a data practitioner at a global systems integrator. The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security.

Data Governance 94

Data Governance Metadata Data Quality Enterprise 94

Occam's Razor

JULY 31, 2006

Definition first: Conversion rate , in percentage, equals Outcomes divided by Unique Visitors during a particular time period. Why use Unique Visitors : There is a lot of heat around this topic. Matt Belkin, you have read his interview on this blog, has a great alternative point of view on this, click here for that.).

Analytics 115

Analytics Metrics Measurement Reporting 115

Occam's Razor

DECEMBER 21, 2009

You know what is the one thing stopping you from finding truly actionable insights from your web data? Web analytics gems lie deep in the data and we spend our lives looking at the top ten rows of data. We look at the top ten rows of data because: 1. Too much data from our web analytics tools.

Metrics 94

Metrics KPI Reporting Visualization 94

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Occam's Razor

MAY 4, 2010

They expose a person's critical thinking ability (something I highly recommend you test when you hire web analysts: Interviewing Tip: Stress Test Critical Thinking. They also help you understand if someone really grasps key concepts. They also help you understand if someone really grasps key concepts.

Testing 112

Testing Advertising Marketing Measurement 112

Occam's Razor

OCTOBER 12, 2017

There is never a boring moment, there is never time when you can’t do something faster or smarter. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. They never had to worry that they have to be in a persistent forward motion… sometimes just to stay current.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Occam's Razor

JANUARY 24, 2011

Regular readers of this blog will recognize that I suffer from OOD. The way OOD manifests itself is that in every website and web business I work with I am obnoxiously persistent in helping identify the desired outcomes of the site / business before I ever log into their web analytics data. Outcomes Obsession Disorder. Sorry, OOD.

Analytics 123

Analytics Finance B2B Reporting 123

CIO Business Intelligence

MARCH 25, 2024

Judy Balaban has seen firsthand how stepping into the professional spotlight, even on a small stage, pays dividends. Early in her career as a program management specialist at AT&T, Balaban became an active member with the Project Management Institute’s New Jersey chapter, which put her front and center at plenty of events. Well, yes and no.

IT 130

IT Strategy Insurance Management 130

Occam's Razor

MARCH 25, 2014

You have to have a deeper understanding of the business, an expansive knowledge of what is possible (and not just inside Google/Adobe Analytics), and, this is so, so, so important, the ability to balance the now and the near future. It is because often we are just the data girls / boys. But choosing what to focus on is extremely hard.

Metrics 157

Metrics Marketing Strategy Key Performance Indicator 157

Sisense

JANUARY 9, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. New name, same commitment to empowering data teams. Is this still a product for data teams? A simple change like this can often create confusion.

Data Warehouse 93

Data Warehouse Data-driven Visualization Technology 93

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction. You’ve got a new boss.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. It’s safe to say that the world looks a lot different than it did just 15 months ago. It’s safe to say that the world looks a lot different than it did just 15 months ago. Data Governance Definition Varies. What else did we learn?

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. Some people seemed to be naturally good at doing this kind of high quality data analysis. These engineers and analysts were often described as “careful” and “methodical”. Why has this document resonated with so many people over time?

Metrics 107

Metrics Measurement Statistics Data Collection 107

Occam's Razor

FEBRUARY 22, 2010

The reason is simple: The ecosystem within which you function on the web contains mind blowing data you can use to become better. It is simply magnificent what you can do with freely available data on the web about your direct competitors, your industry segment and indeed how people behave on search engines and other websites.

Metrics 124

Metrics Advertising Reporting Data Collection 124

Sisense

AUGUST 4, 2021

COVID-19 is a huge data story in many ways, and food delivery analytics are a big part of that. Restaurant margins have always been thin, and the right understanding of data to make them successful has long eluded many smaller, local businesses. However there’s hope on the horizon! Identify customer trends and improve sales.

Analytics 119

Analytics Optimization Sales Marketing 119