Rocket-Powered Data Science

MARCH 19, 2021

Focus on the strategies that aim these tools, talents, and technologies on reaching business mission and goals: e.g., data strategy, analytics strategy, observability strategy ( i.e., why and where are we deploying the data-streaming sensors, and what outcomes should they achieve?).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

APRIL 11, 2024

Innovative digital tech like AI, automation, and data analytics help break down these silos, enabling better collaboration, faster decision-making, and more efficient resource allocation. This is how enterprises find themselves in painfully long transformation projects that have statistically high failure and abandonment rates.

Cost-Benefit 104

Cost-Benefit Predictive Analytics Data-driven Risk 104

BA Learnings

JANUARY 2, 2023

This may require using tools such as Microsoft Excel or Google Sheets for fundamental statistical analysis or more advanced tools such as Tableau for visualizing complex datasets. Adjust Strategies Don't be afraid to adjust strategies based on new findings uncovered by using data and analytics.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Sisense

SEPTEMBER 12, 2019

Every business needs a business intelligence strategy to take it forward. . As the Global Team Lead of BI Consultants at Sisense, I can say that the projects I’ve worked on where a BI strategy was involved, were more successful than projects without a strategy. But what is a BI strategy in today’s world?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

datapine

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320. BI engineer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

MAY 13, 2022

AI-powered analytics and business intelligence tools can help identify why some strategies do not work, allowing them to change tactics and make new decisions according to the results. Takes advantage of predictive analytics. As you can see from the above example, businesses today are data-centric.

Business Analytics 135

Business Analytics Analytics Unstructured Data Data-driven 135

Smart Data Collective

JULY 16, 2023

Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions. Maximizing Returns through Astute Investment Strategies with Big Data Maximizing returns is a primary goal in hedge fund management.

ROI 72

ROI Data Analytics Analytics Risk Management 72

Smart Data Collective

JUNE 8, 2023

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. We have mentioned that golf players have used data analytics to improve performance.

Data Analytics 84

Data Analytics Analytics Data Collection Statistics 84

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Smart Data Collective

MARCH 27, 2023

Data Scientists and Analysts use various tools such as machine learning algorithms, statistical modeling, natural language processing (NLP), and predictive analytics to identify trends, uncover opportunities for improvement, and make better decisions.

Data Science 93

Data Science Statistics Data-driven Machine Learning 93

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

FineReport

MARCH 24, 2024

Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. SAS automates statistical data analysis tasks and offers enhanced security features.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

JANUARY 15, 2024

Sales statistics Two recent surveys concur that only a tiny minority of retailers have no plans to implement AI today. Artificial Intelligence, Generative AI, IT Strategy, Microsoft, Predictive Analytics, Retail Industry, Vendor Management, Vendors and Providers

Sales 105

Sales Software Forecasting Statistics 105

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? 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.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

Smart Data Collective

JULY 24, 2023

One of the biggest ways that data analytics is changing the sports industry is that it has revolutionized social media marketing strategies employed by sports teams and leagues. Sports organizations are leveraging analytics technology to make their social media marketing strategies more efficient and improve their ROIs.

Analytics Technologies 80

Analytics Technologies Marketing Technology Analytics 80

Smart Data Collective

OCTOBER 31, 2021

When creating a business plan, you should think about the challenges you cannot accomplish without a good strategy and what strategy would work best to address them. You will find that analytics will make these processes much easier. Selecting a segment with analytics. Analytics technology can help in a number of ways.

Analytics 111

Analytics Data mining Analytics Technologies Sales 111

Occam's Razor

MARCH 23, 2021

Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. I lovingly call our strategy analytics on the bleeding edge. intelligent analytics initiatives. upgrades to processes to create deeper integration with Finance & Strategy teams.

Analytics 131

Analytics Scorecard Strategy Testing 131

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

bridgei2i

FEBRUARY 21, 2020

As technology innovates year after year, AI-powered analytics has likewise evolved, while keeping a decade-long marathon-paced trend in popularity. In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year.

IoT 83

IoT Analytics Deep Learning B2B 83

Smart Data Collective

DECEMBER 21, 2022

The Bureau of Labor Statistics estimates that there are nearly 106,000 employed data scientists in the United States. You can use big data to improve risk scoring models and use real-time analytics to stop threats. A growing number of data scientists are being employed in various industries to help solve many challenges.

IT 114

IT Big Data Data Science Data-driven 114

Smart Data Collective

MAY 22, 2019

Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. Keyword analysis is another very important element of any marketing strategy.

Optimization 79

Optimization Marketing Big Data Machine Learning 79

datapine

JANUARY 6, 2022

More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses. Standard deviation: this is another statistical term commonly appearing in quantitative analysis.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smarten

JUNE 29, 2018

The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue.

Testing 40

Testing Statistics IT Business Intelligence 40

BizAcuity

MAY 16, 2022

He went on to be the head brewer of Guinness and we thank him for not just great hand-crafted beers but subsequent research breakthroughs in statistical research as well. Such insights can be excellent fuel to marketing strategy, analytics, and campaign optimization. So, make sure you have a data strategy in place.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Smart Data Collective

JANUARY 27, 2022

More researchers are using predictive analytics and AI to anticipate the outcomes of various food engineering processes, so big data will be even more important to this field in the future. This is especially true as more marketing strategies focus on highly targeted and personalized marketing, which requires detailed customer data.

Big Data 129

Big Data Advertising Internet of Things Marketing 129

Smart Data Collective

AUGUST 15, 2019

The human resources department is in a unique position to help curb those statistics and ensure the workforce is strategically aligned with the cost factors of a business. Using data, you can identify your resignation rate and commonalities and correlations; use predictive analytics to determine risk of exit; and much more.

Big Data 84

Big Data Sales Testing Statistics 84

Smart Data Collective

AUGUST 21, 2019

Predictive analytics and machine learning can help give some more perspectives on how retirees live , which can help them forecast their financial needs in their Golden Years. As per the Bureau of Labor Statistics (BSL), in America 2 out of 5 households depends on their pension as a major source of income.

Big Data 77

Big Data Cost-Benefit Insurance Data-driven 77

Domino Data Lab

JANUARY 24, 2019

This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., In a similar vein, in 2018 Forrester split apart its “Wave” for predictive analytics products into two distinct Waves. Code-first data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Rocket-Powered Data Science

MARCH 10, 2020

Chapter 1 provides a beautiful introduction to graphs, graph analytics algorithms, network science, and graph analytics use cases. In the discussion of power-law distributions, we see again another way that graphs differ from more familiar statistical analyses that assume a normal distribution of properties in random populations.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). What is Multiple Linear Regression Analysis? Use Case – 2.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component. Linear Trend. Stationary/Stationarity.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. BA primarily predicts what will happen in the future. What About “Business Intelligence”?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

datapine

MAY 14, 2019

Best for: Those looking for a practical means of understanding how artificial intelligence serves to enhance data science and use this knowledge to improve their data analytics strategies. 6) “The Signal And The Noise: Why So Many Predictions Fail – But Some Don’t” by Nate Silver. click for book source**.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Smarten

JUNE 26, 2018

Business Problem: A research agency wants to predict the likelihood of each election candidate being voted on by each voter and in turn devise a strategy to take proactive steps. Let’s look at two use cases: Use Case – 1.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40