Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Rocket-Powered Data Science

MARCH 19, 2021

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Data Science 101

APRIL 12, 2019

There are three main reasons why data science has been rated as a top job according to research. Firstly, the number of available job openings is rapidly increasing and the highest in comparison to other jobs, data science has an extremely high job satisfaction rating, and the median annual salary base is undeniably desirable.

Statistics 110

Statistics Data Science Machine Learning Software 110

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

datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence vs. business analytics Business analytics and BI serve similar purposes and are often used as interchangeable terms, but BI should be considered a subset of business analytics. Business analytics, on the other hand, is predictive (what’s going to happen in the future?)

Business Intelligence 136

Business Intelligence Dashboards Data mining OLAP 136

Smart Data Collective

AUGUST 10, 2021

Data Science: Harnessing the Power of Big Data. Marketing and business strategy benefit greatly from data. People who are interested in data and statistics can do very well in a data science or analytics career. 5 Best Analytic Tools in 2021. RapidMiner.

Analytics 127

Analytics Data-driven Advertising Data Science 127

CIO Business Intelligence

MARCH 31, 2023

Business analysts are in high demand, with 24% of Fortune 500 companies currently hiring business analysts across a range of industries, including technology (27%), finance (13%), professional services (10%), and healthcare (5%), according to data from Zippia. Amazon, Capgemini, and IBM.

Business Analysis 81

Business Analysis Testing Business Analytics Statistics 81

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Data pipelines. Business Analytics.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Smarten

JULY 26, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution and the Smarten Mobile App. 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.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smarten

APRIL 12, 2023

Contact the Smarten team to find out more about Smarten SnapShot Anomaly Monitoring and how this powerful functionality can help you to gain insight into your data and results.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

NOVEMBER 26, 2023

Self-serve business intelligence provides an analytics approach that is accessible to business users. Benefits of Business Intelligence for the Enterprise Data Democratization – Business Intelligence (BI) software enables data democratization. What is data democratization?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

Smarten

JANUARY 27, 2023

Contact the Smarten team to find out how Smarten PMML Integration can support your business needs and your business users with simple features and tools that are suitable for every team member.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Smarten

JUNE 17, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution. 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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. Explaining Models with LIME and SHAP.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Smarten

NOVEMBER 8, 2022

Begin the Citizen Data Scientist Journey now, or contact the Smarten team for more information on Smarten Augmented Analytics solution. 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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Peter James Thomas

APRIL 9, 2019

Given the advent of the Maths & Science section, there are now seven categories into which I have split articles. These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data. Maths & Science. Data Visualisation.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Smarten

APRIL 19, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution and the powerful opportunities provided by Sentiment Analysis. 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.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Peter James Thomas

AUGUST 12, 2018

I explore some similar themes in a section of Data Visualisation – A Scientific Treatment. Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7].

Metrics 49

Metrics Statistics Data Quality Measurement 49

Peter James Thomas

AUGUST 2, 2019

Master Data – additional definition (contributor: Scott Taylor ). Reference Data (contributor: George Firican ). Statistics. Self-service (BI or Analytics). Management Information (MI). Optimisation. Robotic Process Automation.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Analytics Vidhya

APRIL 25, 2020

Overview Microsoft Excel is one of the most widely used tools for data analysis Learn the essential Excel functions used to analyze data for. The post 10+ Simple Yet Powerful Excel Tricks for Data Analysis appeared first on Analytics Vidhya.

Analytics 318

Analytics Data Processing Structured Data Statistics 318

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. Why Are Restaurant Analytics Important? Business analytics for restaurants is integral to understanding the inner workings of your business but and being aware of how you can improve it to foster a sustainable level of success that will set you apart from the competition.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Rita Sallam

JULY 22, 2016

Again, check out the Critical Capabilities for BI and Analytic Platforms for how each vendor compares. Research VP, Business Analytics and Data Science. The post Modernize Using The BI & Analytics Magic Quadrant appeared first on Rita Sallam. Enjoy your summer!! Thanks for reading and stay tuned.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ).

Analytics 45

Analytics Testing Data Strategy Data Integration 45