Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Now that we have described predictive and prescriptive analytics in detail, what is there left?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

DataKitchen

DECEMBER 30, 2020

DataKitchen provides an end-to-end DataOps platform that automates and coordinates people, tools, and environments in the entire data analytics organization—from orchestration, testing, and monitoring to development and deployment. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

Testing 241

Testing Big Data Statistics Manufacturing 241

Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

Analytics 342

Analytics Data Science Technology Deep Learning 342

Smart Data Collective

MAY 20, 2021

When completing a business analytics masters online, you will be taking a flexible course that works for you, letting you customize the degree to suit the industry you work in and allowing you to continue working alongside your studies. Here are just a few things to consider when thinking about a business analytics masters online.

Business Analytics 134

Business Analytics Analytics Cost-Benefit Data-driven 134

CIO Business Intelligence

DECEMBER 11, 2024

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. The introduction of generative AI (genAI) and the rise of natural language data analytics will exacerbate this problem.

Management 111

Management Data Governance Data Science Reporting 111

Analytics Vidhya

MARCH 31, 2023

The availability of sophisticated analytical tools that utilize big data has helped businesses develop more accurate profiles. Moreover, employing AI for marketing analysis helps leverage the power of analytics and consumer profile information. AI is the solution for you!

Marketing Analytics 348

Marketing Analytics Marketing Analytics Big Data 348

Smart Data Collective

FEBRUARY 2, 2021

Big Data is more than a trend or a buzzword. In 2020, the size of the global Big Data market reached 56 billion, and it’s on track to exceed 103 billion by 2027. Consumers are generating huge amounts of data at a rapid rate, and it is estimated that up to 90% of all data was generated only in the past two years.

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

Rocket-Powered Data Science

JULY 14, 2023

Now, we drill down into some of the special characteristics of data and enterprise data infrastructure that ignite analytics innovation. First, a little history – years ago, at the dawn of the big data age, there was frequent talk of the three V’s of big data (data’s three biggest challenges): volume, velocity, and variety.

Analytics 188

Analytics Big Data Strategy Enterprise 188

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

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. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. data analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

NOVEMBER 27, 2019

4) Predictive And Prescriptive Analytics Tools. Business analytics of tomorrow is focused on the future and tries to answer the questions: what will happen? There are plenty of big data examples used in real life, shaping our world, be it in the buying experience or managing customers’ data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

JULY 14, 2023

As I progressed in my career into management roles for enterprise data systems, I gained a deeper understanding and appreciation of the synergies and interdependencies between system and user requirements. Analytics products represent the user-facing and client-facing derived value from an organization’s data stores.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Smart Data Collective

AUGUST 10, 2021

Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data. In the early days of analytics, only the largest companies could afford to leverage big data. But which tools are the most effective for businesses in 2021?

Analytics 132

Analytics Data-driven Data Science Advertising 132

CIO Business Intelligence

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

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 144

Business Intelligence Dashboards Data mining OLAP 144

bridgei2i

NOVEMBER 18, 2020

BRIDGEi2i Analytics Solutions announced today that it had been recognized in the list top 10 data science companies in India to work for 2020 by Analytics Insights magazine. Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. www.BRIDGEi2i.com.

Data Science 52

Data Science Contextual Data Deep Learning Big Data 52

Sisense

AUGUST 19, 2020

The use of big data analytics and cloud computing has spiked phenomenally during the last decade. Big data, analytics, cloud computing, data mining, data science — the buzzwords of the modern data and analytics industry — have taken every business and organization by storm, no matter the scale or nature of the business.

Big Data 52

Big Data Machine Learning Digital Transformation Data-driven 52

Smart Data Collective

APRIL 3, 2022

More companies than ever are investing in big data. However, many feel that their data strategies are not proving to be effective. According to a report by VentureBeat, only 13% of companies feel that their data strategies are providing the results they are looking for. Find A Platform Rooted In Data Science/Analysis.

Data Strategy 111

Data Strategy Strategy Data-driven Big Data 111

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions. What Are Restaurant Analytics?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Analytics Vidhya

APRIL 21, 2023

But will it last, or will another human innovation tread […] The post This is How Experts Predict the Future of AI appeared first on Analytics Vidhya. AI has become a teacher, guide, friend and even more to people worldwide. The AI revolution is here!

Analytics 343

Analytics IT Machine Learning Business Analytics 343

Analytics Vidhya

NOVEMBER 24, 2020

Introduction One of the common queries I come across repeatedly on several forums is “Should I become a data scientist (or an analyst)?” The post Should I become a data scientist (or a business analyst)? appeared first on Analytics Vidhya. ” The.

Analytics 329

Analytics Testing Business Analytics Big Data 329

datapine

FEBRUARY 22, 2022

4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Employ a Chief Data Officer (CDO). 2) BI Strategy Benefits.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Analytics Vidhya

APRIL 28, 2023

In this digital world, Data is the backbone of all businesses. With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries?

Data Analytics 306

Data Analytics Analytics IT Data mining 306

Sanjeev Mohan

MARCH 18, 2018

Most companies now want to be known as Data Science companies. BI vendors are moving deeper into the stack while data management companies are moving towards BI and data science. The world of Big Data is getting more complicated as vendors add pieces to complete the puzzle in order to rise above the noise.

Big Data 62

Big Data Data Science Data Governance Software 62

Cloudera

JANUARY 5, 2021

Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

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 Data Science Big Data 49

Peter James Thomas

MAY 3, 2019

The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well. Leverage of Data to generate Insight. In this second area we have disciplines such as Analytics and Data Science. Data Architecture / Infrastructure. Watch this space. [2].

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Cloudera

FEBRUARY 22, 2021

For future acquisitions, the two different CDP form factors ( CDP Private Cloud and CDP Public Cloud ) will serve as the single landing zone for all big data workloads of the acquired entity, accelerating IT integration activities and ensuring technology standardization and rationalization between our client and the acquired entity.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

Peter James Thomas

AUGUST 29, 2018

I am on record multiple times [4] stating that technology choices are much less important than other aspects of data work. However, it is hard to ignore the impact that Big Data and related technologies have had. A few years into the cycle of Big Data adoption, do you see the tools and approaches yielding the expected benefits?

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

FineReport

MARCH 24, 2024

Each language serves distinct purposes, from performance-oriented applications to web development and data science. Data Analyst Job Description: Data Analysis Tools Data analysts rely on an array of tools to collect and interpret data effectively.

Statistics 52

Statistics Data mining Visualization Sales 52

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

Rita Sallam

JULY 22, 2016

Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Sisense supports a wide range of relational, NoSQL and big data sources. Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Peter James Thomas

AUGUST 12, 2018

Especially for all Business Analytics professionals out there (2009). [7]. See in particular my trilogy: Using historical data to justify BI investments – Part I (2011). Using historical data to justify BI investments – Part II (2011). Why Business Intelligence projects fail” (2009). One of my Top Ten films. [6].

Statistics 49

Statistics Metrics Data Quality Measurement 49

Peter James Thomas

AUGUST 2, 2019

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. It includes 30 new definitions, some of which have been contributed by people like Tenny Thomas Soman, George Firican, Scott Taylor and and Taru Väre. Thanks to all of these for their help.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

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