Smart Data Collective

MARCH 29, 2021

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 136

Big Data Management Cost-Benefit Internet of Things 136

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 75

Data Collection Big Data Statistics Software 75

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. that can be easily digested and shared with your team. Customer service is also in real-time.

Big Data 124

Big Data Software Finance Dashboards 124

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

Smart Data Collective

MAY 13, 2022

There are many reasons big data has become a double-edged sword for businesses. Many companies are using data analytics to monitor their employee productivity and other behavior. It can be even more beneficial than using big data for recruiting. This is an area where big data can help immensely. It builds trust.

Data-driven 107

Data-driven Big Data Software Data Analytics 107

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

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 89

Data-driven Big Data Metrics Strategy 89

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 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Smart Data Collective

OCTOBER 16, 2023

Smart devices use sensors to collect data and upload it to the Internet. Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources.

Big Data 103

Big Data IoT Cost-Benefit Advertising 103

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 139

Data Science Statistics Machine Learning Visualization 139

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

datapine

JULY 8, 2020

Try our professional dashboard software for 14 days, completely free! A COO (chief operating officer) dashboard is a visual management tool used by COOs to connect multiple data sources, track, evaluate, and help COOs to optimize operational processes within a company by using interactive metrics and advanced analytical capabilities.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

CIO Business Intelligence

JULY 5, 2022

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

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 98

Predictive Analytics IoT Manufacturing Analytics 98

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

Smart Data Collective

APRIL 30, 2020

In recent years, the term Big Data has become the talk of the town, or should we say, the planet. By definition , big data analytics is the complex process of analyzing huge chunks of data, trying to uncover hidden information — common patterns, unusual relationships, market trends, and above all, client preferences.

Big Data 101

Big Data Cost-Benefit Risk Data Analytics 101

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 135

Analytics Data Science Unstructured Data Data mining 135

Smart Data Collective

MAY 28, 2021

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

Data-driven 132

Data-driven Cost-Benefit Big Data Data Processing 132

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions. We know what “progress” means.

Management 341

Management Machine Learning Experimentation Metrics 341

Cloudera

FEBRUARY 8, 2021

The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost.

Machine Learning 112

Machine Learning Manufacturing Unstructured Data Data Collection 112

Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.

Big Data 138

Big Data Internet of Things Data-driven Deep Learning 138

Smart Data Collective

APRIL 20, 2020

According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry. The value of data has become a primary focus for companies seeking an easy way to compromise. Effects of Analytics. Fossil fuels are scarce. The higher the competition, the lower the price.

Forecasting 96

Forecasting Uncertainty Big Data Marketing 96

Smart Data Collective

OCTOBER 13, 2021

A growing number of screenwriters are discovering the wonders of big data. Fast Company wrote about this back in 2013 when they said that Big Data is Rewriting Hollywood Scripts. You can also use data analytics and AI to assess how various pitch decks are likely to find those that are likely to perform the best.

Data-driven 106

Data-driven Big Data Recreation/Entertainment Data Analytics 106

Smart Data Collective

MARCH 8, 2021

However, managing your fleet using Big Data gets so much easier if you are using proper fleet management software. With such solutions, fleet managers can classify all the data and make a list of business goals to reach. The post Fleet Management and Big Data: Points to Consider appeared first on SmartData Collective.

Big Data 142

Big Data Management Predictive Analytics Statistics 142

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 98

Manufacturing Cost-Benefit Data Lake Optimization 98

Smart Data Collective

DECEMBER 17, 2020

To ensure an appropriate level of clinical services, physicians also need to have immediate access to patient data and know the patient’s individual medical needs. Many discussions about the EHR implementation with big data are centered around the automation of physicians’ tasks and making the life of medical staff easier.

Data-driven 117

Data-driven Big Data Software Risk 117

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 131

Technology Data Warehouse Big Data Machine Learning 131

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. Overlooking these data resources is a big mistake. What’s the point of investing time and money on a strategy that lacks focus?

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

Smart Data Collective

JUNE 15, 2022

Accurate client data collection and analysis are critical to maximizing all of these activities. Using retail site selection mapping software to gain better insights into your client base will allow you to give more appropriate services and goods. Better Understand Customer Demographics. Reduce customer acquisition expenses.

Advertising 97

Advertising Cost-Benefit Sales ROI 97

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. Time tracking enables you to make informed decisions dependent on accurate data. Employee time tracking software facilitates better time management. One of the biggest advantages is that it can bolster employee productivity.

Metrics 89

Metrics Measurement Data-driven Optimization 89

erwin

JUNE 11, 2020

If the current investments that a business has is not as effective, then data intelligence tools can provide guidance on the best avenues to invest in. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. To ensure these scenarios remain actionable, they should be updated regularly based on the latest data and insights.

Forecasting 82

Forecasting Marketing Sales Risk 82

Smart Data Collective

MAY 1, 2022

Text analysis , or text mining, is a machine—learning technique that can extract valuable data from large amounts of unstructured text. Artificial intelligence, machine learning, and advanced data analytics techniques come together to accomplish this. Why is text analysis needed? More objective and accurate analysis.

Unstructured Data 116

Unstructured Data Cost-Benefit Machine Learning Marketing 116

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. We don’t want to apply a centralized paradigm to a decentralized problem,” Vilfort adds.

IoT 98

IoT Data Warehouse Internet of Things Machine Learning 98

Smart Data Collective

DECEMBER 21, 2022

That’s why data cleansing is so important – it’s the process of making sure your data is clean, complete, and consistent before you use it for anything critical. Here’s a closer look at what data cleansing entails, and why it’s essential for any business that relies on data analytics.

Business Analytics 110

Business Analytics Analytics Data Quality Big Data 110

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132