Smart Data Collective

MAY 21, 2019

. Organizations are using big data to solve many of their most pressing challenges. Some big data applications have received considerably more attention than others. Marketing and finance are two of the functions that are most dependent on big data. Preparing for weather challenges.

Big Data 77

Big Data Cost-Benefit Predictive Analytics Insurance 77

Smart Data Collective

NOVEMBER 11, 2021

We have frequently talked about the merits of using big data for B2C businesses. One of the reasons that we focus on these sectors is that there is so much data on consumers, which makes it easier to create a solid business model with big data. It can be even more useful if you use it with big data.

B2B 112

B2B Data mining Big Data Marketing 112

Smart Data Collective

NOVEMBER 8, 2021

Data analytics has become a very important aspect of any modern business’s operating strategy. One of the most important ways to utilize big data is with financial management. The financial analytics market is projected to be worth $114 billion within the next two years.

Data Analytics 122

Data Analytics Insurance Analytics Cost-Benefit 122

Smart Data Collective

OCTOBER 13, 2021

The market for AI technology is growing remarkably. Businesses spend a lot of time and resources on marketing to stand out from their competition. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors.

Technology 121

Technology Cost-Benefit Experimentation Machine Learning 121

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. This is where big data becomes so important in pricing.

Data Analytics 89

Data Analytics Analytics Big Data Sales 89

Smart Data Collective

DECEMBER 18, 2020

Big data has created a number of major benefits in the food and beverage industry. Food and beverage companies are using big data to identify new marketing opportunities. They can monitor trends in the market and sell products that cater to evolving tastes. Using data-driven labeling software.

Data Analytics 118

Data Analytics Analytics Big Data Data mining 118

AWS Big Data

JUNE 30, 2023

Position 2 is a leading US-based growth marketing services provider focused on data-driven strategy and technology to deliver growth with improved return on investment (ROI). 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

Smart Data Collective

OCTOBER 19, 2021

Data analytics has become a major gamechanger for the cryptocurrency industry. Traders and miners have discovered a number of advantages of using big data and AI tools to improve their profitability. One of the newest applications of data analytics in cryptocurrency mining is with yield farming.

Data Analytics 111

Data Analytics Analytics Big Data ROI 111

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 115

Analytics Cost-Benefit Testing Dashboards 115

Smart Data Collective

JULY 31, 2022

Modern investors have a difficult time retaining a competitive edge without having the latest technology at their fingertips. Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive Analytics Helps Traders Deal with Market Uncertainty.

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

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

DECEMBER 15, 2020

Big data has had a tremendous impact on the financial industry. One of the biggest financial applications of new data technology involves stock trading. You can significantly increase the profitability of your trades by investing in top-of-the-line analytics technology. Do your research with analytics tools.

Data Analytics 65

Data Analytics Analytics Big Data Risk 65

Smart Data Collective

MARCH 5, 2022

Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. You will have a much easier time creating a successful dropshipping business if you are proficient with big data. It uses complex data analytics features.

Data mining 134

Data mining Big Data Data-driven Data Science 134

Smart Data Collective

NOVEMBER 13, 2020

Big data and predictive analytics can be very useful for these nonprofits as well. With that in mind, proper data management in the nonprofit space , as well as the use of artificial intelligence to streamline communication and organizational practices, can be invaluable. Smart Spending. The list of possibilities goes on.

Predictive Analytics 108

Predictive Analytics Analytics Machine Learning Strategy 108

Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

Predictive Analytics 81

Predictive Analytics Forecasting Analytics Machine Learning 81

CIO Business Intelligence

JANUARY 20, 2023

Here’s what to consider: Ingesting the data : To be able to analyze more data at greater speeds, organizations need faster processing via high-powered servers and the right chips for AI—whether CPUs or GPUs. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers. 1] [link]. [2]

Analytics 133

Analytics Key Performance Indicator Unstructured Data IoT 133

Smart Data Collective

JANUARY 26, 2022

Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting.

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

Smart Data Collective

DECEMBER 9, 2020

Big data is leading to a number of major changes in businesses all over the world. One of the biggest changes to come from new advances in data analytics is an improvement in product development. Data analytics technology is being used more and more by leading engineers all over the world.

Data Analytics 122

Data Analytics Analytics Data-driven Big Data 122

CIO Business Intelligence

JUNE 21, 2022

The global HPC market is hot?generating 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?

Deep Learning 102

Deep Learning Big Data ROI Software 102

Smart Data Collective

JANUARY 14, 2021

Big data technology is becoming extremely important for project management in 2021. A growing number of companies are finding new ways to use data-driven tools to streamline various aspects of their projects, including editing workflows. We talked before about editing data science workflows. Here are some benefits.

Data-driven 68

Data-driven Big Data Machine Learning Technology 68

Smart Data Collective

APRIL 20, 2021

Trading is an exciting and often lucrative way of making money in the stock markets. With that said, there is now a myriad of software and trading tools available to help you better evaluate patterns in trading data and spot profitable set-ups with ease. There are no two ways about it; big data has taken the trading industry by storm.

Software 91

Software Marketing Machine Learning Big Data 91

Smart Data Collective

NOVEMBER 14, 2019

The digital gaming industry has undergone jolting changes over the past decade, as more organizations are looking towards data driven solutions. Gaming organizations have started to use big data to develop a deeper understanding of target customers. Advances in digital data collection and predictive analytics should help them.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

Sisense

JANUARY 13, 2020

How data enhances product development. Every part of a business generates big Data. We asked Christine Quan, Sisense BI Engineer in sales, how she thinks data helps product development, and she said, Indeed, data enables a company to understand its customers better.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Smart Data Collective

AUGUST 26, 2021

Data analytics technology is one of the biggest reasons that things are changing faster than ever. This is one of the areas that has been fundamentally transformed by new advances in data analytics technology. Understanding the Shift Caused by Data Analytics in Digital Lending.

Data-driven 68

Data-driven Software Risk Testing 68

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. The updates were designed to help organizations manage and store data in a multi-cloud environment amid the growing risk of ransomware attacks, according to Dell Product Marketing VP Caitlin Gordon.

Deep Learning 93

Deep Learning Snapshot Optimization Data Quality 93

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. It also helps improve marketing. How is SaaS sales different?

Modeling 98

Modeling Analytics Sales Key Performance Indicator 98

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. Analytics technology has become an invaluable aspect of modern financial trading. Pick out the different market emotions or trends.

Visualization 133

Visualization Optimization Analytics Testing 133

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 49

Data Science Machine Learning Data Strategy Cost-Benefit 49

Decision Management Solutions

JULY 16, 2020

It uses increasingly advanced and analytics to maximize its ability to get value from its data. And it uses analytics everywhere – from customer treatment to operations, from marketing to administration, and from people management to asset management.

Enterprise 87

Enterprise Analytics Strategy Analytics Technologies 87

Alation

FEBRUARY 13, 2020

“We hear little about initiatives devoted to changing human attitudes and behaviors around data. Unless the focus shifts to these types of activities, we are likely to see the same problem areas in the future that we’ve observed year after year in this survey.” — Big Data and AI Executive Survey 2019.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59