Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

InsightOut

FEBRUARY 1, 2023

We all collect things if we think they hold value. Most founders and executives know that there is significant value in data collection. Turns out, you have invaluable data collecting layers of dust in countless spreadsheets. Take on a vantage point that allows you to see all your data - in real-time.

Data Analytics 52

Data Analytics Analytics Dashboards Visualization 52

Smart Data Collective

APRIL 23, 2022

In simple terms, big data is a term used to describe large volumes of data that are difficult to manage. This data may overwhelm businesses every day in structured or unstructured forms. Smart organizations use this data to improve their business models and make life better through analysis. Big Data and Skating.

Analytics Technologies 107

Analytics Technologies Broadcasting Data Analytics Technology 107

CIO Business Intelligence

MARCH 21, 2022

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 job description. Semi-structured data falls between the two.

Unstructured Data 132

Unstructured Data Data Analytics Analytics Structured Data 132

Jet Global

AUGUST 4, 2023

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

InsightOut

FEBRUARY 1, 2023

We all collect things if we think they hold value. Most founders and executives know that there is significant value in data collection. Turns out, you have invaluable data collecting layers of dust in countless spreadsheets. Take on a vantage point that allows you to see all your data - in real-time.

Data Analytics 40

Data Analytics Analytics Dashboards Visualization 40

Smart Data Collective

JUNE 10, 2019

You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. Attracting Prospective Investors.

Technology 105

Technology Data Analytics IoT Big Data 105

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

DECEMBER 15, 2022

Data analytics is not a new term, as it’s the same as interpreting information. Today, business data and analytical insights are the most sought-after to increase revenue and improve corporate decisions. Business data is a broad field that, like every other type of data , is statistics about the business.

Analytics 115

Analytics Visualization Data Collection Statistics 115

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

APRIL 20, 2022

Companies that utilize data analytics to make the most of their business model will have an easier time succeeding with Amazon. One of the best ways to create a profitable business model with Amazon involves using data analytics to optimize your PPC marketing strategy.

Data Quality 116

Data Quality Analytics Testing Sales 116

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 137

Data Science Statistics Machine Learning Visualization 137

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 97

Predictive Analytics IoT Manufacturing Analytics 97

Smart Data Collective

MAY 29, 2023

With these changes comes the challenge of understanding how to gather, manage, and make sense of the data collected in various markets. With the introduction and use of machine learning, AI tech is enabling greater efficiencies with respect to data and the insights embedded in the information.

Data Collection 77

Data Collection Big Data Statistics Software 77

Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. Because that is how models learn.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 124

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 124

Smart Data Collective

JUNE 3, 2021

Some more in-depth programs exist, but many require knowledge in a programming language or a very deep understanding of data analytics. This list is for individuals who are looking to “do it themselves” with data. Customer service is also in real-time.

Big Data 121

Big Data Software Finance Dashboards 121

Cloudera

FEBRUARY 8, 2021

A successful next-generation architecture must embody key characteristics including embedded intelligent edge computing, a secure and reliable embedded edge operating system, the ability to provide dynamic over-the-air updates, and an enterprise level advanced analytics and machine learning platform.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Modeling 108

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models.

Predictive Analytics 138

Predictive Analytics Analytics Predictive Modeling Forecasting 138

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 339

Management Machine Learning Experimentation Metrics 339

CIO Business Intelligence

FEBRUARY 13, 2024

It aims to regenerate a section of Australia’s Daintree Rainforest while also establishing sustainable and cost-effective models for environmental restoration efforts around the world. Using data and analytics to preserve the rainforest The Smart Rainforest initiative goes beyond data collection.

IoT 59

IoT Internet of Things Machine Learning Data Collection 59

Rocket-Powered Data Science

JUNE 17, 2022

Synthetic monitoring is essentially digital twinning of your network and IT environment, providing insights through simulated risks, attacks, and anomalies via predictive and prescriptive modeling. My closing thought — Cybersecurity is basically Data Analytics: detection, prediction, prescription, and optimizing for unpredictability.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Rita Sallam

AUGUST 28, 2022

Solar power is being used successfully in many African nations, but data collection is poor and so hides the important social benefits of this energy source. Whilst this link is weakening due to renewable energy production, is it falling fast enough?

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Data-driven 86

Data-driven Big Data Metrics Strategy 86

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Smart Data Collective

MAY 4, 2021

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. Analytics is one of the most powerful tools that modern businesses possess.

Advertising 136

Advertising Marketing Data Collection Data Analytics 136

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 93

Manufacturing Cost-Benefit Data Lake Optimization 93

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 131

Analytics Data Science Unstructured Data Data mining 131

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. As the first and most impactful of all benefits of analytics, we have the ability to make informed strategic decisions backed by factual information.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Creating data silos Denying business users access to information because of data silos has been a problem for years.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

Cloudera

MARCH 29, 2022

To capitalize on the opportunities that data creates for the public good, state and local CIOs must harness data in motion with a cohesive strategy and platform. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy. Hybrid cloud is the Model of Choice.

Cost-Benefit 97

Cost-Benefit Strategy Data Science Data Processing 97

Smart Data Collective

MARCH 28, 2021

For instance, Azure Digital Twins allows companies to create digital models of environments. These digital presentations are built from real-time data either in pure form or 3D representations. Introduction of New Business Models. The Microsoft Azure platform provides the avenue for companies to monitor this data.

Cost-Benefit 137

Cost-Benefit IoT Internet of Things Data-driven 137

Smart Data Collective

JUNE 28, 2021

You probably already understand the central role big data analytics plays in many of today’s industries, but do you know how it impacts e-commerce specifically? The e-commerce industry is one of the industries that is most benefiting from the robust growth of data collection and analysis.

Management 87

Management Big Data Data Processing Advertising 87

Smart Data Collective

APRIL 24, 2020

It’s impossible to deny the importance of data in several industries, but that data can get overwhelming if it isn’t properly managed. The problem is that managing and extracting valuable insights from all this data needs exceptional data collecting, which makes data ingestion vital.

Data Lake 100

Data Lake Data Collection Deep Learning Management 100