Smart Data Collective

OCTOBER 8, 2021

Modern machine learning and back-testing; how quant hedge funds use it. Similarly, hedge funds often use modern machine learning and back-testing to analyze their quant models. Here, the models get tested using historical data to evaluate their profitability. Methods of Algo-trading, machine learning tests, back-tests.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality reduces the effort required to validate data from days to hours, and provides computing recommendations, statistics, and insights about the resources required to run data validation. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 85

Data Quality Measurement Testing Visualization 85

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. Those who work in the field of data science are known as data scientists.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

IBM Big Data Hub

JANUARY 25, 2024

Over time, inventory managers have tested different approaches to determine the best fit for their organizations. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. Do you have purpose-built algorithms to improve intermittent and variable demand forecasting?

Optimization 82

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 82

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Forecasting. Hypothesis Testing. Descriptive Statistics. Trends and Patterns. Classification. Correlation. Regression. Clustering. Frequent Pattern Mining.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Juice Analytics

APRIL 17, 2020

He goes on to clarify by saying that some estimate that 80% of the cases don’t get tested, so we don’t actually know the real number of cases, but it’s likely very much higher. Forecasts are not Predictions (But they’re still useful.) And forecast modelers know how not only to create those, but also how to interpret them.

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. According to statistics, fuel costs account for nearly 40% of overall expenses for a fleet. Statistics reveal that companies relying on data management reduce total miles driven by 10%.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smart Data Collective

AUGUST 10, 2021

Not only will it aid in evaluation and future forecasting, but it also enables us to make conclusions from previous occurrences, which is very useful in many situations. The most significant benefit of statistical analysis is that it is completely impartial.

Data Analytics 135

Data Analytics Analytics Big Data Key Performance Indicator 135

Smarten

JULY 23, 2019

Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

Marketing 362

Marketing Experimentation Metrics Testing 362

Smarten

APRIL 28, 2023

In fact, today’s productivity statistics have decreased in nearly all segments of the economy and improved productivity can provide a competitive edge and allow your business to function with fewer resources.

Slice and Dice 52

Slice and Dice Business Intelligence ROI Statistics 52

Smarten

JANUARY 21, 2019

Time Series Forecasting. Holt-Winters Forecasting. Descriptive Statistics. ARIMA Forecasting. Chi Square Test. ARIMAX Forecasting. Paired Sample T Test. Dependent Sample T-Test. Independent Samples T Test. Consider the myriad of techniques used by data scientists and analysts!

Analytics 40

Analytics Predictive Modeling Forecasting Testing 40

Smart Data Collective

DECEMBER 13, 2021

The tools you pick will form the basis of your monitoring strategy, so compare your options and aim to adopt tried, tested and well-respected solutions if you want the best experience. Work out what metrics to track. At a software level, there are similarly significant metrics to be on the lookout for.

Strategy 108

Strategy Metrics Software Measurement 108

Smart Data Collective

SEPTEMBER 19, 2022

Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. Forecasting Future Market Trends. Better UI/UX based on A/B testing. Positive customer experience sits atop the most valuable things critical to the longevity of any business.

Big Data 129

Big Data ROI Measurement Risk 129

Smart Data Collective

AUGUST 19, 2021

The statistics don’t lie either. Product testing and progress. Through product testing and trialing, it can help properly access the product and ultimately, it’s chances of success when the product launches. From the product’s concept, it can help developers test what’s needed in order to perfect every part of the product.

Analytics 126

Analytics Cost-Benefit Software Testing 126

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. A stationary time series is one with statistical properties such as mean, where variances are all constant over time. Stationary/Stationarity.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

CIO Business Intelligence

AUGUST 24, 2023

Retraining, deployment, operations, testing—a lot of these features just aren’t available yet.” Would you put your client’s sales forecast into Facebook? Testing will only show the presence of errors, not the absence,” says Martin Fix, technology director at Star, a technology consulting company. “AI AI is a black box.

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

DataRobot Blog

MAY 26, 2022

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

Risk 52

Risk Modeling Metrics Business Objectives 52

FineReport

DECEMBER 9, 2021

This is a short project that validates the technical concept by proposing many simplified functions, verifying hypotheses, testing the functionality of the product, and ensuring that the concept can be implemented or vice versa. The accuracy of the store customer flow forecast has now reached 95%. FineReport Architecture.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

Sisense

MAY 20, 2021

Identify theories, test them, rigorously seek to disprove them while rapidly implementing those that show promise. Don’t let your team search out favorable statistics. This helps ensure better forecasting, reduces product/kiosk downtime, and ensures that its people have the answers they need when and where they need them.

Analytics 98

Analytics Data-driven Strategy Measurement 98

Smarten

JANUARY 15, 2018

A well-conceived augmented data discovery solution includes tools and features that are simple enough for business users and allow users with average skills to perform augmented data preparation, drawing data from various repositories to test theories and hypotheses without the assistance of IT or analysts to prepare the data.

Forecasting 40

Forecasting Statistics Testing Visualization 40

Smarten

JUNE 29, 2018

Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Birst BI

AUGUST 23, 2018

If your data science resources are strained, here is an example data scientist workflow that leverages Birst to speed up tasks throughout the application development lifecycle – data preparation, model development and testing with R integration, deployment into the business, and governance and management.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

JUNE 29, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc., It is useful for making predictions and forecasting data based on historical results. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Smarten

JUNE 27, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Smarten

NOVEMBER 22, 2017

Your business users can perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge.

Analytics 40

Analytics IT Business Intelligence Visualization 40

datapine

JULY 17, 2019

Quick Ratio / Acid Test. Offering visual data on customer acquisition costs, customer lifetime value, and sales target information, on this management dashboard , you will be able to make intelligent managerial forecasts, spot trends, and understand where you need to improve processes within the business. KPIs used: Working Capital.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

CIO Business Intelligence

SEPTEMBER 7, 2023

The first is forecasting, where AI is used to make predictions about downstream demand or upstream shortages. In the meantime, many companies continue to reap the benefits of improved forecasting and inspection. Some of the challenges Amcor faces in manufacturing have to do with accurate forecasting and adapting to changing demand.

Management 138

Management Forecasting Manufacturing Cost-Benefit 138

Smarten

JUNE 29, 2018

The KNN Classification algorithm is useful in determining probable outcome and results and in forecasting and predicting results, given the existence of multiple variables. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Programmers have always developed tools that would help them do their jobs, from test frameworks to source control to integrated development environments. We’d like to see more companies test for fairness.

Enterprise 271

Enterprise Modeling Testing Reporting 271

O'Reilly on Data

MAY 27, 2020

Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.

Risk 355

Risk Testing Measurement Reporting 355