Business Over Broadway

DECEMBER 20, 2018

All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims. Click image to enlarge. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Sisense

JUNE 9, 2021

Here at Sisense, we’re particularly excited because the tournament is more than just a festival of skill and athleticism; it’s a clash of analytics insights. In the modern game, analytics is an essential part of a winning formula that has revolutionized football teams and the way they play. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

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

BizAcuity

MARCH 8, 2019

Workforce Analytics – What is its need for companies. Workforce Analytics in simple terms can be defined as an advanced set of software and methodology tools that measures, characterizes, and organizes sophisticated employee data and these tools helps in understanding the employee performance in a logical way.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. Some of these were addressed in the Data Driven Summit 2018. The Right Data Analytics Tools Must Be Leveraged for GTM Strategies. Let’s begin.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. And both use cases, analytics and governance, are being sold a catalog of some kind.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Rocket-Powered Data Science

OCTOBER 16, 2020

The survey also had forward-looking questions, as well as historical comparisons and trends from results of similar “state of AI in the enterprise” surveys in 2018 and 2019. 2) The percentage who are concerned about other countries being more advanced than the U.S. in AI technology and implementation increased from 70% to 82%.

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

datapine

APRIL 2, 2019

Tracking the success metrics based on your needs, and the time frame you select while comparing your values can be done with simple yet effective scorecards. It gives decision-makers the ability to combine specific metrics in order to gain an overview of a complete performance scorecard. The Benefits & Features Of Scorecards.

Scorecard 226

Scorecard KPI Dashboards Reporting 226

Smart Data Collective

DECEMBER 18, 2020

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. As a result, the attackers could access the stolen data in their Google Analytics account.”. Exploiting Header Flaws.

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

Jenny Sussin

JUNE 13, 2019

75% of organizations we surveyed have increased their CX technology investment in 2018, as compared to 2017. Organizations are most focused on getting CX metrics right and listening to the Voice of the Customer (VoC) which means investing in customer analytics applications.

Technology 72

Technology Customer Analytics Metrics Sales 72

Smarten

MAY 18, 2022

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find and analyze data. Augmented Analytics that include context-driven, Natural Language Processing (NLP), will provide the kind of support your business needs to achieve the results you envision.

Data-driven 67

Data-driven Sales Metrics Testing 67

AWS Big Data

MARCH 29, 2024

The Nexthink Infinity platform combines analytics, monitoring, automation, and more to manage the employee digital experience. Furthermore, the event-driven design allowed teams to build stateless services that could seamlessly auto scale based on MSK metrics like messages per second.

Cost-Benefit 93

Cost-Benefit Data-driven Metrics Management 93

Smarten

JANUARY 17, 2019

As simplified search analytics expands into all corners of the enterprise, the business can expect business users to embrace advanced analytics and, in so doing, to become more of an asset to the organization. By 2020, 50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

datapine

APRIL 8, 2020

A SQL dashboard is a visual representation of data and metrics that are generated from a SQL relational database, and processed through a dashboard software in order to perform advanced analysis by creating own queries, or using a visual drag-and-drop interface. But let’s start from the beginning and define this kind of a dashboard.

Dashboards 209

Dashboards Software Visualization Sales 209

Sisense

DECEMBER 27, 2019

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Case in point: when you look at your company’s monthly metrics, you’re focused solely on a single month’s worth of data. Unsurprisingly, this is a key metric for retail analytics. What is YOY Growth? How to Calculate YOY?

KPI 96

KPI Measurement Metrics Key Performance Indicator 96

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. stemmed from a 2018 data breach, when the global hotel chain’s 339 million customers’ data was exposed. Everyone Fails Data Governance. In 2019, the U.K.’s In 2019, the U.K.’s

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

Birst BI

AUGUST 23, 2018

Source: Gartner (April 2018). Machine learning has been part of the Birst platform from day one to automate the most complex analytic processes and accelerate the time to insight. Leverage analytic ready data sets in Birst with the ability to do additional self-service data blending in Birst Pronto.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. From 2014 onwards, I tried to do exactly that.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

AWS Big Data

OCTOBER 19, 2023

Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by Amazon OpenSearch Service since 2018, after reaching billions of documents and terabytes of search storage.

Publishing 55

Publishing Testing Cost-Benefit Data-driven 55

datapine

MARCH 20, 2019

Utilizing financial data with the help of online data analysis tools allows you to not only share vital information both internally and externally but also leverage metrics or insights to make significant improvements to the very area that allows your business to flow. Download right here your bite-sized summary of the finance world!

Reporting 248

Reporting Finance Snapshot Dashboards 248

Alation

MARCH 8, 2022

Our C-Suite of People, Finance, and Marketing, are all women, with Joy Wolken heading up our People Team since 2018, and new addition Langley Eide taking on the CFO role this February. When I joined Alation in April 2018 we had 100 employees. And our CMO Tracy Eiler is also a founding board member of Women in Revenue !).

Sales 52

Sales Data Processing Finance Metrics 52

Smart Data Collective

AUGUST 21, 2019

According to a survey published by Qlik (a company specializing in analytics and Business Intelligence), 25% of Spaniards surveyed are fluent in understanding and managing data for their daily projects, compared to 17% of the European average. They are the European leader in big data decisionmaking.

Big Data 81

Big Data Modeling ROI Metrics 81

datapine

MARCH 16, 2023

2) Pros & Cons Of Bar Charts 3) When To Use A Bar Graph 4) Types Of Bar Charts 5) Bar Graphs & Charts Best Practices 6) Bar Chart Examples In today’s fast-paced analytical landscape, data visualization has become one of the most powerful tools organizations can benefit from to be successful with their analytical efforts.

Visualization 196

Visualization KPI Cost-Benefit Dashboards 196

Peter James Thomas

AUGUST 12, 2018

Some systems (even in 2018) can still make it harder to capture good data than to ram in bad. Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. Over the last seven years, Cloudera’s Stream Processing product has evolved to meet the changing streaming analytics needs of our 700+ enterprise customers and their diverse use cases. Faster ingestion was needed to reduce overall analytics latency. .

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

Occam's Razor

JANUARY 8, 2018

Predictive analytics. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more. I tried to click on “January 2018” hoping it pops up a calendar. 2018: the year of doing the unsexy fundamentals well!

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Over the life of the forecast, the data scientist will publish historical accuracy metrics. But due to the long time lag between forecasts and actuals, these metrics alone are insufficient. Every forecast update will include metrics to provide insight on change drivers, and will flag significant gaps between different model forecasts.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019). What metrics are used to evaluate success? Who builds their models? One-third use human-in-the-loop.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Business Over Broadway

MAY 22, 2019

For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. I conducted a customer experience best practices study and found that loyalty leading companies focus analytics efforts on customer understanding rather than internal metrics. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Peter James Thomas

OCTOBER 1, 2019

The recent update of The Data & Analytics Dictionary featured an entry on Charts. Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. Introduction. Most charts have two axes.

Sales 61

Sales Measurement Statistics Data Architecture 61

Rita Sallam

NOVEMBER 11, 2016

Perhaps because 20% of attendees self-identified as either in IT or Data and Analytics leadership roles – and, admittedly,, we are a more boring bunch. Users will also be able to define and monitor metrics and alerts to changes based on defined or dynamic thresholds.

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

Cloudera

AUGUST 6, 2018

Only 3 years later, in 2018 the organization has received a total of 75 million messages. This is important because unlike diabetes or high blood pressure we don’t yet have clear metrics for Parkinson’s. We also know that many organizations simply do not have the technical ability to use data analytics or machine learning effectively.

Machine Learning 50

Machine Learning Internet of Things Cost-Benefit Data-driven 50

Jet Global

JANUARY 28, 2020

Gartner reported in 2018 that information executives believed the output and overall value of self-service analytics would exceed that of professional data scientists by 2019. These reports are also static, meaning they only contain the final metrics and totals and not any of the information behind those numbers.

Reporting 49

Reporting Data-driven Software Risk 49

Jet Global

OCTOBER 2, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

bridgei2i

MAY 19, 2021

And I think, as I keep telling people that, you know, I’m on my second or on my third innings, I think this new journey of getting to know, the digitization, and these AI ML analytics is even more interesting. And lately, I’m also seeing a lot of, you know, analytics type Center of Excellence is coming up in these locations.

Enterprise 75

Enterprise Digital Transformation Marketing Cost-Benefit 75

Domino Data Lab

SEPTEMBER 9, 2019

This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. The complementary Domino project is also available. Introduction. One common use case for natural language work is to compare texts.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110