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

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

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

Ontotext

OCTOBER 14, 2021

In this blog series, we will explore specific industries to highlight the impact of knowledge graphs on critical use cases. In this blog series, we will explore specific industries to highlight the impact of knowledge graphs on critical use cases. Drawing More Value Out of Existing Data.

Reporting 98

Reporting Structured Data Metadata Data Warehouse 98

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 Technology Visualization 93

DataRobot Blog

JULY 28, 2022

Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. As a DataRobot data scientist , I have worked with team members on a variety of projects to improve the business value of our customers. Sensor Data Analysis Examples.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence. Behaviour classification.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

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 Metrics 130

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

AWS Big Data

JUNE 19, 2023

With the recent introduction of Amazon Security Lake , it has never been simpler to access all your security-related data in one place. Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account.

Publishing 83

Publishing Dashboards Visualization Management 83

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 Marketing Sales 119

Smarten

NOVEMBER 26, 2023

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. Now it is time to talk about solutions. Vendors All business intelligence companies are not the same.

Business Intelligence 40

Business Intelligence Key Performance Indicator ROI Dashboards 40

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 130

Visualization B2B Dashboards Marketing 130

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 150

Analytics Slice and Dice KPI Metrics 150

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Internal and external auditors work with many different systems to ensure this data is protected accordingly.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Sisense

DECEMBER 9, 2019

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. One of the biggest pitfalls in data is the preservation of insights when analysis is handed off from the data team to a business professional. My personal blueprinting process uses a lot of sticky notes for this.

Dashboards 97

Dashboards Visualization KPI Strategy 97

Sisense

JANUARY 30, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. Data and analytics!

Analytics 93

Analytics Data-driven Digital Transformation Dashboards 93

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. I try to relate as much published research as I can in the time available to draft a response. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

Analytics 64

Analytics Measurement Modeling Data-driven 64

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

JULY 24, 2018

Obvious: No CxO understands the story we are trying to tell – or, even the fundamentals of what we do in the world of analytics. You see… None of the currently recommended frameworks and maturity models aids analytics leaders in truly understanding the bottom line impact of their work. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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. I've written about the biggest mistake web analysts make. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports!

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations. It’s easy to see why.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

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 130

Statistics Testing Reporting Key Performance Indicator 130

AWS Big Data

JUNE 15, 2023

In this post, we explain how you can enable business users to ask and answer questions about data using their everyday business language by using the Amazon QuickSight natural language query function, Amazon QuickSight Q. Q uses the same QuickSight datasets you use for your dashboards and reports so your data is governed and secured.

Sales 66

Sales Dashboards Visualization Testing 66

Occam's Razor

JUNE 4, 2018

I understand channel conflict, Timbuk2, but this is just plain not being hungry. In order to have the same passion to take advantage of this magical opportunity (nudge, nudge) you’ll first want to understand how inefficient your current shopping process is. It is 2018—why are there still light gray below-the-fold add to cart buttons?

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Occam's Razor

APRIL 15, 2019

If you are in the data business – my bread, butter and tofu – you often carry the burden of being the bearer of bad news. Negative data. Sadly still, negative data to the person/team receiving it. A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence.

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

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 128

Measurement Analytics Advertising Marketing 128

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. So questions linger about whether transformed data can be trusted.

Data Governance 40

Data Governance Risk Metadata Management 40

Occam's Razor

AUGUST 8, 2011

and partly because all they do is present data in the aggregate (a punishable criminal offence if there ever was one!). , and partly because all they do is present data in the aggregate (a punishable criminal offence if there ever was one!). Here’s a blog post: 3 Awesome, Downloadable, Custom Web Analytics Reports.

Reporting 122

Reporting Metrics Key Performance Indicator Optimization 122

Darkhorse

APRIL 9, 2018

Do you hire a data scientist? There are a few different options, but before we explore them, let’s consider some additional questions: Is your data ready to go? Your data is almost certainly worse off than you think it is -- unless you’re regularly using it. And you shouldn’t hire a data scientist to clean it up.

Consulting 58

Consulting Cost-Benefit Machine Learning Analytics 58

Occam's Razor

SEPTEMBER 24, 2012

This blog post is about the above recommendations, and their merit. This blog post is about the above recommendations, and their merit. Facebook has an incredible audience, 950 million strong and counting. This audience is immensely attractive to Brands and Marketers around the world. It is a lovely emotional video (really was!).

Advertising 165

Advertising ROI Metrics Marketing 165

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

Depict Data Studio

APRIL 27, 2020

Are your takeaway findings getting lost? Media outlets are reporting that their COVID-19 data visualizations are their most viewed pages. I don’t need to tell you that nobody has spare time right now. Before, we might’ve been hopeful that our organization’s leaders would spend time reading our graphs.

Visualization 52

Visualization Software Reporting Dashboards 52

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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

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 122

Analytics Finance B2B ROI 122