Jet Global

OCTOBER 8, 2020

The term ‘operational finance’ encapsulates the critical activities associated with order to cash, procure to pay, fixed assets, close, consolidation, and reporting. By finely tuning its AR reporting capabilities, a business can enjoy greater financial stability and predictability – something much needed in the current climate.

Finance 98

Finance Reporting Forecasting Metrics 98

Occam's Razor

DECEMBER 8, 2017

If the Surface Marketing team is like every other team at every other company engaged in sponsorships and television advertising, it’ll measure the same collection of smart metrics like everyone else. The Surface team is likely measuring it with deep granularity (by individual games, geo, days, times of days, and a lot more).

Broadcasting 121

Broadcasting Measurement Marketing Sales 121

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. The qualitative surveys measuring unhappiness went down even more than before. Reporting/dashboards were terribly created ( CDPs anyone? ).

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Occam's Razor

JUNE 7, 2017

And, less than 1% engagement of any kind from that less than 1% reached (identified using the best social media metrics: Conversation Rate, Amplification Rate, Applause Rate ). Do you have access to any data to measure how deeply non-impactful your organic Social Media efforts are? The Broken Promise of Marketing Utopia: Examples.

Advertising 162

Advertising Marketing B2B ROI 162

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Pertinence and fidelity of metrics developed from Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

AUGUST 7, 2023

You can use SQL statements to create and train forecasting models from your time series data in Amazon Redshift and use these models to generate forecasts about revenue, inventory, resource usage, or demand forecasting in your queries and reports. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job.

Forecasting 81

Forecasting Data Warehouse Machine Learning Modeling 81

datapine

MAY 11, 2022

Due to the way the human brain processes information, presenting insights in charts or graphs to visualize significant amounts of complex data is more accessible than relying on spreadsheets or reports. Boosts engagement: Generating reports has been a tedious and time-consuming task since businesses and analytics came together.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Juice Analytics

APRIL 21, 2019

Merely documenting a wish list of reports, fields and filters is a recipe for low adoption and canceled subscriptions. Collecting good requirements is less about a laundry list of charts and metrics, but an understanding of how information can transform the business from how it exists today. What are the key decisions made every day?

Insurance 69

Insurance Dashboards Metrics Reporting 69

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

MAY 18, 2021

Value-at-Risk (VaR) is a widely used metric in risk management. It helps identify risk exposures, informs pre-trade decisions, and is reported to regulators for stress testing. 2] Bayraktar, Erhan and Munk, Alexander, Mini-Flash Crashes, Model Risk, and Optimal Execution (May 27, 2017). Intraday VaR. Citations. [1]

Risk 96

Risk Marketing Risk Management Data-driven 96

Business Over Broadway

DECEMBER 20, 2018

Data Science/Analytics Tools, Technologies and Languages used in 2017. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, cross-validation and decision trees more than other data science methods in 2017. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

For years, analysts in enterprises had struggled to find the data they needed to build reports. They said, “If I’m building a report for an executive audience, to guide crucial decision making, I want to make sure the data foundations in that report are solid!”. HBR Review May/June 2017. And the support stopped there.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MARCH 2, 2022

In recent years, investors have been placing an increased emphasis on a range of environmental, social, and governance (ESG) issues resulting in ESG reporting becoming more important. As a result, there are more demands on companies to report on their activities and practices and how they impact environmental and social sustainability.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59