AWS Big Data

JUNE 28, 2023

You can perform real-time transaction processing on data in Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

Juice Analytics

MARCH 3, 2021

www.forbes.com/special-report/2012/annoying-business-jargons-12.html. Reduce metrics. Most organizations are tempted to show as many metrics as possible, but it becomes impossible to understand and focus on everything at once. Create constraints to show only the metrics that matter most. A typical dense dashboard.

Visualization 126

Visualization Metrics Dashboards Measurement 126

AWS Big Data

MARCH 11, 2024

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). You can continuously load fresh data by calling the stored procedure at regular intervals.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

MARCH 21, 2024

You can continue with your transaction processing on Amazon RDS or Amazon Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. They would like to get these metrics in near real time using a zero-ETL integration. The following diagram illustrates this architecture.

Data Warehouse 87

Data Warehouse Metrics Optimization Statistics 87

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. It enables the tracking of experiment metrics like loss and accuracy, visualization of a model’s graph, projection of embeddings to a lower dimensional space, and much more.

Machine Learning 122

Machine Learning Visualization Data Science Metrics 122

Domino Data Lab

JUNE 2, 2019

If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Occam's Razor

SEPTEMBER 21, 2015

We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients. Second, between 2012 and 2013. You are comparing 2012 and 2013, add a row of data at the top that shows your computation of the size of the opportunity for 2014.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. From a startup in 2012, it is now valued at $3.2 The company has integrated data analysis throughout its organization to power decision making.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. I first learned about this technique through Cole Nussbaumer’s Storytelling with Data workshop back in 2012—but geez, was it tough to apply!

Visualization 105

Visualization Dashboards Testing Reporting 105

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. And for good reason!

Experimentation 61

Experimentation Testing Statistics Metrics 61

datapine

MAY 17, 2021

Without a doubt, the best way to drive maximum value from the metrics, insights, and information is through something called data discovery. Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161