Ms SQL Girl

FEBRUARY 3, 2015

Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Data Modelling Patterns 101 Using Power Pivot. Introduction to Power BI.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Data Modelling Patterns 101 Using Power Pivot. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Data Modelling Patterns 101 Using Power Pivot. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

CIO Business Intelligence

MAY 28, 2022

The company had offered a freemium model in contrast to MixPanel’s paid service, helping it not only rake up customers but also attract new investors. . The CDP market is growing, and is forecast to reach $20.5 billion by 2027, according to a report from Research and Markets. Analytics, Data Management

Advertising 126

Advertising Forecasting Data Quality Marketing 126

CIO Business Intelligence

MAY 26, 2022

The company had offered a freemium model in contrast to MixPanel’s paid service, helping it not only rake up customers but also attract new investors. . The CDP market is growing, and is forecast to reach $20.5 billion by 2027, according to a report from Research and Markets. Analytics, Data Management

Advertising 104

Advertising Forecasting Data Quality Marketing 104

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. Forecasting (e.g. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

CIO Business Intelligence

MARCH 22, 2022

He is expected to strengthen the company’s cloud solution portfolio, deliver an enhanced cloud experience for customers, and develop industry-specific solutions available on IaaS, PaaS, and SaaS models. He then moved to Capgemini as a consultant in 2008 before joining Hindustan Unilever in 2012. Adani Power names Nitin Rohilla CIO.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Smart Data Collective

OCTOBER 17, 2022

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes in 2012. This is an increase from 64.2 Poor performance.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. Classical Modeling Considerations. What is MMM?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

OCTOBER 23, 2023

Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. This is a simplified model where we don’t need to use AWS Lake Formation data sharing.

Data Lake 102

Data Lake Visualization Optimization Interactive 102

Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. 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.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Selection bias and survivorship bias When we slice a population by some factor or combination of factors and compute a metric over the new sub-populations, we are implicitly specifying a model (the metric is a function of the slicing factors) and testing a hypothesis. References [1] Efron, B. New York: Cambridge University Press. [2]

Experimentation 61

Experimentation Testing Statistics Metrics 61

Jet Global

SEPTEMBER 22, 2023

You can create a query like this: “Please analyze this dataset and let me know interesting facts you see: Rows: (All) Quarter 1, 2012 Quarter 2, 2012 Quarter 3, 2012 … Cells: 4,117,344.28 Augment data with predictive, forecasting, clustering, and outlier analysis.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52