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

Business Over Broadway

MARCH 8, 2021

US Labor Force Statistics for Selected Occupations. Using data from 2018 and 2019, the US Census Bureau estimates that, for every dollar that men earn, women earn 81.6 In a prior study , I found that men and women possessed comparable proficiency in subject matter expertise, technology and programming and math/statistics.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

The Data Visualisation Catalogue

JANUARY 20, 2020

The data for this post uses the website’s analytics page views statistics from 1 st January 2019 – 31 st December 2019, and the previous years follow the same date range. I actually rarely look at the website’s analytics data, so this is a great excuse to do so as there is some purpose to it. Happy New Year!

Statistics 58

Statistics Analytics IT 58

CIO Business Intelligence

MARCH 31, 2023

And the Bureau of Labor Statistics predicts that business analyst jobs will grow 11% from 2021 to 2031. Business analytics is a lucrative role in IT, with an average entry-level salary of $82,084 per year. And the top employers of business analysts include Google, Citi, JPMorgan Chase & Co., Amazon, Capgemini, and IBM.

Business Analysis 105

Business Analysis Testing Business Analytics Statistics 105

Smart Data Collective

APRIL 13, 2021

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. Similarly, in 2018 the volume of breaches dropped to 1.257 billion (from 1.632 billion in 2017), but the records exposed dramatically increased to 471.23 million (from 35.7

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

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

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., Reflections. Code-first data science platforms. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

datapine

APRIL 2, 2019

A KPI scorecard is a term used to describe a statistical record that measures progress or achievement towards a set performance indicator. We have set the target date as December 2018, and we can see on the top of the example above that the current time frame combines the first 11 months of the year. What Is A KPI Scorecard?

Scorecard 226

Scorecard KPI Dashboards Reporting 226

Smart Data Collective

OCTOBER 8, 2021

This is according to Barclay Hedge founder and President Sol Waksman in his July 2018 statement. Hedge funds often prefer Algo-trading strategies over human traders or analytics as they generate profits faster. Perform quantitative analysis. Machine learning has done a lot to help them improve financial trading.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

Sisense

JANUARY 14, 2021

For analytics teams, trust is hard to gain and easy to lose. Every company is becoming a data company, and once customers are used to interacting with data and analytics infused throughout your product , they expect that data to be accurate. joining the BI team at Billie in 2018. Better testing, better customer experience.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

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

Smart Data Collective

FEBRUARY 16, 2021

Another – perhaps even more problematic – is that there is mounting evidence acquired from large scale data analytics that shows that diverse teams are actually more likely to fall victim to such an attack. One, perennially raised by commentators from many industries, is that businesses are slowly losing the fight against ransomware.

Big Data 121

Big Data Data-driven Risk Reporting 121

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

datapine

SEPTEMBER 27, 2022

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Originally published in 2018, the book has a second edition that was released in January of 2022. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Business Over Broadway

SEPTEMBER 5, 2018

Even though natural events such as floods, earthquakes or hurricanes are inevitable, I believe that their impact can be mitigated through the application of data and analytics. Check out these links to get you started: UN Data from the United Nations Statistics Division. trillion since 2003. UN Sustainable Development Goals Indicators.

Data Science 57

Data Science Statistics Advertising Deep Learning 57

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

Data Science and Beyond

JULY 22, 2018

Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. This article is a short summary of my understanding of the definition of data science in 2018. Even better – I still get paid for being a data scientist. But what does it mean?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

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

Domino Data Lab

JANUARY 6, 2019

Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Many thanks to Lorena Barba, et al., That’s no problem.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

O'Reilly on Data

NOVEMBER 28, 2023

Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. AI is the next generation of what we called “data science” a few years back, and data science represented a merger between statistical modeling and software development.

Enterprise 271

Enterprise Modeling Testing Reporting 271

Occam's Razor

JUNE 4, 2018

It is 2018—why are there still light gray below-the-fold add to cart buttons? I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Still, I’m heartbroken that some the simplest elements of ecommerce stink so much. youarekillingme.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics. Tukey did this paper.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smarten

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Can SSDP Truly Make Analytics Self-Serve? What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51

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. Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management. Our paths converge.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

AUGUST 8, 2019

2018 – Global reckoning about data governance, aka “Oops!…We Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc. We did it again.”. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. Likewise, 2018 was the year of virtual assistants: Alexa, Cortana, all of them have taken the consumers’ market by storm.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

DECEMBER 15, 2020

Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. Those were documented in early 2018 in this blog from a mixed Intel and Baidu team. One of most awaited features of Spark 3.0

Broadcasting 97

Broadcasting Optimization Statistics IT 97

Business Over Broadway

JANUARY 20, 2019

A few of the different groupings of languages reflect specific types of applications or specific roles that data professionals could support, including analytics, general-purpose, and front-end efforts. In general, principal component analysis examines the statistical relationships (e.g., Click image to enlarge.

Machine Learning 79

Machine Learning Data Science Data-driven Statistics 79

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Figure 2: Forecast triangulation Integrating customer forecasts with statistical forecasts In strategic forecasting, the proposed forecast may rely partially on forecasts or assumptions not owned by the data scientist.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Juice Analytics

NOVEMBER 20, 2018

Books we read in 2018. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics - Nathan Yau’s book that teaches us something new every time we pick it up. A book and apparel line in 2018. These are some of our favorite books and gift ideas for the data scientist, designer or analyst in your life.

Visualization 40

Visualization Statistics Big Data Interactive 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. Cartograms.

Sales 61

Sales Measurement Statistics Data Architecture 61

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). By November 2018, 43% reported that they planned to incorporate AutoML into their workflows sometime in 2019.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Peter James Thomas

APRIL 9, 2019

Despite starting to write this piece on 18 th December 2018, I have somehow sneaked into the second quarter before getting round to completing it. Anyway, 2018 was a record-breaking year for peterjamesthomas.com. Statistics & Data Science. Analytics & Big Data. Statistics & Data Science. The Equation.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361