Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. The article certainly raised a lot of controversy, considering the massive emphasis on the value of data technology. The article was not arguing that big data is going to go obsolete. Endor is a leading pioneer in data science.

Data Science 67

Data Science Big Data Data Strategy Risk 67

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

TDAN

AUGUST 18, 2020

Modern business is all about data, and when it comes to increasing your advantage over competitors, there is nothing like experimentation. Experiments in data science are the future of big data. Already, data scientists are making big leaps forward. Innovations can now win the future.

Experimentation 59

Experimentation Data Science Big Data Internet of Things 59

Rocket-Powered Data Science

JULY 13, 2023

The business challenges then become manifold: talent and technologies now must be harnessed, choreographed, and synchronized to keep up with the data flows that carry and encode essential insights flowing through business processes at light speed. Access to data has done that. Access to faster analytics addresses that.

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

TDAN

MAY 18, 2021

There is a way to avoid some of these undesirable situations with the use of big data. COVID-19 has made companies large and small pivot their businesses. They might change the variety of products, freeze hiring, or let employees go to stay afloat. Companies need to tighten their purse strings as the future of the […].

Data Science 99

Data Science Big Data Data Strategy Business Intelligence 99

Rocket-Powered Data Science

MARCH 19, 2019

A better prescription for business success is for our organization to be analytics – driven and thus analytics-first , while being data -informed and technology -empowered. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!

Analytics 193

Analytics Metrics Data-driven Machine Learning 193

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142

Sisense

JUNE 25, 2020

Recently described as “not a coffee business, but a data tech company ,” the firm now has a dedicated team of data scientists, led by Jon Francis, Starbucks’ senior vice president of enterprise analytics, data science, research data, and analytics. Delving deeper into the in-store experience.

Big Data 98

Big Data Data-driven IoT Marketing 98

TDAN

DECEMBER 14, 2021

Data science is no longer a cryptic term that has nothing to do with your industry. To stay on top of your own e-commerce game and improve your business’s profitability, you can leverage data science breakthroughs in numerous ways. […].

Data Science 52

Data Science Sales IT Data Strategy 52

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 122

Data Architecture Data Warehouse Statistics Visualization 122

TDAN

NOVEMBER 17, 2020

Top-quality data currently represents one of the most important resources for any company. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].

Data Science 145

Data Science Marketing Data Architecture Data Strategy 145

TDAN

OCTOBER 19, 2021

Not too long ago, I attended a conference on data analytics and machine learning. The term ‘data science’ was sprinkled generously throughout. I listened to one innovative and exciting session after another. Indeed, […].

Data Science 52

Data Science Machine Learning Data Analytics Analytics 52

Srividya Sridharan

SEPTEMBER 1, 2021

Join us November 18-19, 2021, to learn best practices for producing connected, clear data insights that drive business outcomes. Discover what attendees will get at this year's Data Strategy & Insights.

Data Strategy 72

Data Strategy Strategy Big Data Data Science 72

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 128

Analytics Data Science Unstructured Data Data mining 128

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist salary. Data scientist skills.

Unstructured Data 129

Unstructured Data Data Analytics Analytics Structured Data 129

Srividya Sridharan

SEPTEMBER 1, 2021

Join us November 18–19, 2021, to learn best practices for producing connected, clear data insights that drive business outcomes. Discover what attendees will get at this year's Data Strategy & Insights.

Data Strategy 52

Data Strategy Strategy Big Data Data Science 52

Cloudera

MAY 28, 2019

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW).

Data Science 49

Data Science Machine Learning Data Strategy Cost-Benefit 49

CIO Business Intelligence

NOVEMBER 28, 2023

Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. And yes, data has enormous potential to create value for your business, making its accrual and the analysis of it, aka data science, very exciting. And here is the gotcha piece about data.

Management 104

Management Data Architecture Data Lake Data Strategy 104

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Becoming a data engineer.

Analytics 116

Analytics Data Science Statistics Unstructured Data 116

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. From Google. About thinking.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Rocket-Powered Data Science

OCTOBER 6, 2023

In these applications, the data science involvement includes both the “learning” of the most significant patterns to alert on and the improvement of their models (logic) to minimize false positives and false negatives. of organizations report having established a data-driven organization.” ” “91.9%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. How does an open data lakehouse architecture support AI?

Data Lake 79

Data Lake Metadata Cost-Benefit Data Warehouse 79

TDAN

OCTOBER 15, 2019

One of the broadest fields, data science offers a lot of things ranging from courses to career opportunities. In today’s age where petabytes of data are being created by various companies and individuals on a daily basis (1 Petabyte = 10^15 Bytes). A lot of companies are now diving deep into the statistics in order […].

Data Science 40

Data Science Statistics Data Strategy Business Intelligence 40

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. You will want to use big data to improve this approach. Average Transaction Value.

Data-driven 107

Data-driven Metrics Big Data Sales 107

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

TDAN

FEBRUARY 4, 2020

More money, more fun, more pleasure, more accomplishment, more intelligence, and yes, more data. More, more, more! We are culturally conditioned to want more. There is an idea that if we get more, we will be happier and more successful. The need for more fuels consumerism and business.

Big Data 72

Big Data Marketing Data Quality Data Strategy 72

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Where data flows, ideas follow. Today, we are leading the way in hybrid data.

IT 110

IT Data Architecture Unstructured Data Big Data 110

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

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. AI Adoption and Data Strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

JULY 14, 2023

Consumers prioritized data discoverability, fast data access, low latency, and high accuracy of data. These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

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

CIO Business Intelligence

JUNE 23, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data.

IT 72

IT Data Architecture Unstructured Data Big Data 72

Peter James Thomas

MAY 3, 2019

Leverage of Data to generate Insight. In this second area we have disciplines such as Analytics and Data Science. The objective here is to use a variety of techniques to tease out findings from available data (both internal and external) that go beyond the explicit purpose for which it was captured. Data Strategy.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

CIO Business Intelligence

MARCH 11, 2022

For example, traditional IT domains such as operations, networking, and enterprise applications are typically managed and maintained by different IT groups, resulting in wholly separate systems and data management workflows. For more on how HPE GreenLake promotes a holistic data strategy and simplifies a siloed landscape, click here.

Digital Transformation 70

Digital Transformation Data Strategy Enterprise Risk 70

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

APRIL 19, 2023

The solution generates a list of data products, product attributes, and the associated probability scores to show join ability. We use Valentine, a data science algorithm for comparing datasets, to improve data product recommendations. The data science algorithm Valentine is an effective tool for this.

Technology 85

Technology Data-driven Machine Learning Sales 85