Smart Data Collective

FEBRUARY 21, 2021

A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. But what lead generation strategies can you use in conjunction with your data analytics tools.

Strategy 99

Strategy Data Analytics Analytics Data-driven 99

Smart Data Collective

AUGUST 30, 2022

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies.

B2B 131

B2B Analytics Cost-Benefit Metrics 131

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. SaaS companies are no exception. What Are SaaS sales?

Modeling 98

Modeling Analytics Sales Key Performance Indicator 98

Smart Data Collective

JULY 16, 2023

According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI. This blog post will provide an in-depth exploration of these strategies, equipping fund managers with the knowledge to boost their fund performance and investor confidence.

ROI 71

ROI Data Analytics Analytics Risk Management 71

Smart Data Collective

NOVEMBER 20, 2022

One of the most significant benefits of leveraging analytics in manufacturing is with marketing optimization and automation. They can operate as a marketing department, provide strategies and direction and act as a consultant to any marketing decisions being made by a company. Optimize your website. Target Audience.

Manufacturing 134

Manufacturing Marketing Data Analytics Analytics 134

Smart Data Collective

JUNE 30, 2022

Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. Vertical integration.

Analytics 110

Analytics Cost-Benefit Analytics Technologies Big Data 110

Smart Data Collective

MAY 28, 2022

Fortunately, companies can use big data to optimize their business models. for every $1 they invest in data analytics. One of the most important ways for brands to improve their profitability with data analytics is through conversion rate optimization. Use Data Mining to Find the Best Strategies for Local SEO.

Data Analytics 106

Data Analytics Analytics Data mining ROI 106

Smart Data Collective

APRIL 12, 2019

Social media has been central to customer service strategies for the past few years. They have found that more effective data analytics technology has made it easier for them to optimize customer service processes through social media. Key Principles to Using Big Data in Your Customer Service Strategy.

Big Data 90

Big Data Strategy Sales Interactive 90

Smart Data Collective

MAY 3, 2022

Data analytics technology is helping businesses boost profitability in many ways. In order to appreciate the benefits of using big data for optimizing prices, companies must recognize the merits of creating the right price point in the first place. How Can Data Analytics Help with Creating a Pricing Strategy?

Data Analytics 89

Data Analytics Analytics Big Data Sales 89

Smart Data Collective

FEBRUARY 14, 2023

This article will provide an overview of the concepts of asset allocation and fixed asset management, before delving into some of the unique benefits afforded by predictive analytics technology. What is asset allocation and how can predictive analytics improve its effectiveness?

Predictive Analytics 108

Predictive Analytics Management Analytics Risk 108

Smart Data Collective

OCTOBER 19, 2021

Analytics technology has become more important than ever in shaping the future of business. Countless businesses are looking for new ways to apply analytics technology to improve every aspect of their business model. One of the most important applications of analytics is with website management and development.

Analytics 119

Analytics Optimization Marketing Analytics Technologies 119

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

CIO Business Intelligence

APRIL 25, 2022

And a survey conducted by ESG found, “62% of organizations plan to increase their year-over-year spend on AI, including investments in people, process, and technology.”. But despite all the money flowing into ML projects, most organizations are struggling to get their ML models and applications working on production systems. .

Machine Learning 120

Machine Learning Enterprise Deep Learning Cost-Benefit 120

Smart Data Collective

AUGUST 29, 2022

Did you know that 53% of companies use data analytics technology ? Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. You will get even more value out of analytics if you leverage machine learning at the same time. Clustering. ?lustering

Analytics 114

Analytics Predictive Analytics Machine Learning Insurance 114

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. .

Manufacturing 94

Manufacturing Digital Transformation Predictive Analytics Strategy 94

Cloudera

NOVEMBER 30, 2021

Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency. Perhaps it is too soon for those with newer and less mature strategies to see such positive impacts. Their current uses of data and analytics.

Enterprise 73

Enterprise Reporting Data Strategy Strategy 73

Smart Data Collective

NOVEMBER 2, 2022

The industry has access to massive amounts of data, so it should leverage them to make the most of their customer outreach and support strategies. These companies need to employ detailed data strategies to find the right prospects. The hard reality is that data-driven marketing strategies can be costly. Do you want more sales?

Marketing 137

Marketing Big Data Data-driven Sales 137

Smart Data Collective

NOVEMBER 11, 2021

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. However, data analytics technology can be just as useful with regards to creating a successful B2B business. Set Goals and Develop a Strategy with Data Mining.

B2B 112

B2B Data mining Big Data Marketing 112

Smart Data Collective

AUGUST 16, 2021

Analytics technology is very important for online businesses. You need to pay close attention to analytics data on various KPIs to determine whether your strategy is working well and what tweaks need to be made. Factors to Evaluate with Your Analytics Data. Acquisition Costs.

Metrics 129

Metrics Analytics Cost-Benefit Sales 129

CIO Business Intelligence

APRIL 26, 2022

Ever increasing advances in technology and continuous process optimization techniques have helped ensure that the global supply chain runs efficiently, turning raw materials into products that make their way to physical stores and ecommerce warehouses. Then, only the updated model is sent back to the edge.

Manufacturing 85

Manufacturing Optimization Metrics Deep Learning 85

CIO Business Intelligence

JUNE 21, 2022

federal government, HPC is being used to accelerate basic science, develop therapeutics and other treatments for COVID-19, perform military applications such as simulations, handle climate and weather modeling, and a myriad of other tasks in diverse agencies. . Big data analytics is being used to uncover crimes. Within the U.S.

Deep Learning 89

Deep Learning Big Data ROI Software 89

CIO Business Intelligence

JANUARY 20, 2023

What was once an anomaly is now a global reality as remote and hybrid work models settle in across industries. To adapt to this new “new normal,” organizations will need to reinforce their workforces with technologies that can keep pace. 2] In this arena, desktop virtualization and cloud technologies will play starring roles.

Technology 57

Technology Cost-Benefit Deep Learning Modeling 57

CIO Business Intelligence

JANUARY 4, 2023

Scaling out and developing large-scale systems : To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. Due to the rapid growth in data sizes, there’s an increased need for HPC solutions that can run large training models.

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

Smart Data Collective

MAY 30, 2022

Analytics technology has shaped many aspects of modern business. According to a report we cited last year, 67% of businesses with revenues exceeding $10,000 a year use data analytics. One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers.

Customer Analytics 105

Customer Analytics Management Analytics Data Processing 105

CIO Business Intelligence

MARCH 9, 2022

Many of the recent advances in AI/ML have been in improving models for processing unstructured data, which warehouses can’t run. Unlike BI, which extracts a small amount of data and for which warehouses are optimized, ML systems process huge datasets using complex, non-SQL code. Just starting out with analytics?

Data Lake 95

Data Lake Unstructured Data Data Warehouse Data Quality 95

CIO Business Intelligence

JUNE 2, 2022

The system, which develops in-depth 3D subsoil models to see up to 15 kilometers underground, led to the discovery of Zohr , the largest known natural gas field in the Mediterranean. For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. .

Informatics 79

Informatics Modeling Testing Technology 79

Smart Data Collective

NOVEMBER 20, 2020

Companies with a strong online presence need to leverage technology that is highly dependent on analytics technology. One of the ways that companies can improve their online business model is by utilizing CMS (content management system) platforms with a strong analytics foundation.

Analytics 82

Analytics Data-driven Metrics Big Data 82

Smart Data Collective

NOVEMBER 29, 2021

Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models. This is where data analytics technology can come in handy.

Data Analytics 110

Data Analytics Analytics Big Data B2B 110

Smart Data Collective

JULY 26, 2021

Data analytics is the backbone in many modern organizations. Companies need to analyze data to optimize their business models in a variety of ways. They have found that big data has changed their business models in countless ways. Data Analytics Can Be Invaluable for Creating Dedicated Team Models.

Data Analytics 120

Data Analytics Analytics Cost-Benefit KPI 120

CIO Business Intelligence

JUNE 1, 2022

To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Deep Learning 80

Deep Learning Snapshot Optimization Data Quality 80

CIO Business Intelligence

MARCH 22, 2022

Develop a strategy to liberate data . Consider deploying analytics-as-a-service . To allow business units to access and use the data in a cost-effective, secure manner, you can create an analytics-as-a-service model. Just starting out with analytics? Find out more about Intel advanced analytics.

Analytics 90

Analytics Key Performance Indicator Data Warehouse Data-driven 90

CIO Business Intelligence

JUNE 7, 2022

The move to remote work and the surge in online everything during the COVID-19 pandemic have led many companies that provide financial services to rethink their business models to accommodate the changing needs of employees and customers. Just starting out with analytics? Find out more about Intel advanced analytics.

Unstructured Data 80

Unstructured Data Deep Learning Insurance Interactive 80

Smart Data Collective

MARCH 24, 2020

Thus, at present, the development of Big Data technology in education is described through many approaches and models, which prevents the systematic accumulation of Big Data for the development of the education system. Student Model Based on Big Data. Training strategy. To Begin with…. Completion. Background.

Big Data 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

Cloudera

MAY 28, 2019

But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open source , where investments in enterprise features like collaboration, reuse, transparency, model management and data platform integration have been focused.

Data Science 49

Data Science Machine Learning Data Strategy Cost-Benefit 49

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

Sisense

MAY 4, 2020

In his article in Forbes , he discussed how some of the biggest names in global business — Nike, Burger King, and McDonald’s — and progressive newer entrants to huge sectors like insurance, are embracing data and analytics technology as a platform on which to build their competitive advantages.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

CIO Business Intelligence

APRIL 4, 2022

The confines of tabular data models and rigid schemas make it difficult to add new or different kinds of connections. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Just starting out with analytics?

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52