Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

Smart Data Collective

MAY 3, 2022

Data analytics technology is helping businesses boost profitability in many ways. A few years ago, Walter Baker and his colleagues at McKinsey reported that one of the biggest advantages of big data in business is that it can help with pricing decisions. How Can Data Analytics Help with Creating a Pricing Strategy?

Data Analytics 89

Data Analytics Analytics Big Data Sales 89

Smart Data Collective

MARCH 30, 2022

Analytics technology is taking the ecommerce industry by storm. Ecommerce companies are expected to spend over $24 billion on analytics in 2025. While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are.

Analytics 114

Analytics Cost-Benefit Testing Dashboards 114

CIO Business Intelligence

JUNE 21, 2022

Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Big data analytics is being used to uncover crimes. Just starting out with analytics? Find out more about Intel advanced analytics.

Deep Learning 111

Deep Learning Big Data ROI Software 111

CIO Business Intelligence

JUNE 1, 2022

At SFU, Cedar’s scale and capacity enable agile prototyping and the integration of big data approaches to support an array of research. Data analytics is the key to unlocking the most value you can extract from data across your organization. Just starting out with analytics? GiB/s, and IO500 MD 45.75

Deep Learning 105

Deep Learning Snapshot Optimization Data Quality 105

Sisense

JANUARY 13, 2020

Here are three key areas where data adds value to the manufacturing process to give companies a competitive edge. How data enhances product development. Every part of a business generates big Data. Data improves and streamlines production quality control.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Data Science 48

Data Science Machine Learning Data Strategy Cost-Benefit 48

Smart Data Collective

APRIL 20, 2021

Technology and trading: A match made in heaven. There are no two ways about it; big data has taken the trading industry by storm. With that said, let’s take a look at three ways you can leverage this technology to your advantage so you can take your trading game to the next level and improve your trading decisions.

Software 90

Software Marketing Machine Learning Big Data 90

Smart Data Collective

MARCH 14, 2022

Data analytics technology is becoming a more important aspect of business models in all industries. They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. Customer Data is Vital to SaaS Revenue Maximization.

Modeling 98

Modeling Analytics Sales Key Performance Indicator 98

Smart Data Collective

AUGUST 21, 2019

Big data is changing the future of the retail industry. One study found that the value of big data in this sector was worth $3.45 Big data is especially important in the eCommerce industry, since the market is digital. Big data is going to be even more important for companies selling digital products online.

Big Data 78

Big Data Sales Marketing Predictive Analytics 78

Smart Data Collective

DECEMBER 2, 2021

Big data is a gamechanger for the marketing sector. We have talked about the benefits of using big data in online marketing. However, there are other reasons to use big data to make the most of your marketing strategy. One often overlooked opportunity to leverage big data is in the context of SMS marketing.

Data-driven 99

Data-driven Marketing Strategy Advertising 99

AWS Big Data

NOVEMBER 30, 2023

AWS Glue is a serverless data integration service that makes it straightforward for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. Big Data and ETL Solutions Architect and AWS Glue expert.

IT 100

IT Visualization Machine Learning Data Integration 100

IBM Big Data Hub

JULY 24, 2023

The rise in complexity has created a need for a systematic approach to ensuring the health and optimization of any organization’s IT services. This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services.

IT 58

IT Analytics Cost-Benefit Predictive Analytics 58

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 Data Quality 119

AWS Big Data

JUNE 30, 2023

Our 200-member team is based in the US and Bangalore, comprising marketing and software experts, engineers, data scientists, client management, creative writers, and designers. The team brings deep domain expertise in digital, B2B, B2C, analytics, technology, mobile, marketing automation, and UX/UI domain.

Marketing 52

Marketing Dashboards Advertising ROI 52

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2]

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. Increased integration costs using different loose or tight coupling approaches between disparate analytical technologies and hosting environments.

Data Processing 89

Data Processing Data Warehouse Enterprise Visualization 89