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. Did you know?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Smart Data Collective

DECEMBER 15, 2021

But driving sales through the maximization of profit and minimization of cost is impossible without data analytics. Data analytics is the process of drawing inferences from datasets to understand the information they contain. Personalization is among the prime drivers of digital marketing, thanks to data analytics.

ROI 128

ROI Marketing Data Analytics Analytics 128

Smart Data Collective

OCTOBER 3, 2019

Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. It makes your site more accessible.

Data-driven 83

Data-driven Marketing Big Data Machine Learning 83

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it. Data Gets Meshier. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

Data-driven 81

Data-driven Data Architecture Predictive Modeling Digital Transformation 81

IBM Big Data Hub

NOVEMBER 2, 2022

Organizations are managing and analyzing large datasets every day, but many still need the right tools to generate data-driven insights. Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 128

Data Warehouse Data Lake Analytics Machine Learning 128

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Improve Visibility within Supply Chains.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

datapine

JULY 17, 2019

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. But with so much data available from an ever-growing range of sources, how do you make sense of this information – and how do you extract value from it? Looking for a bite-sized introduction to reporting?

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Smart Data Collective

APRIL 5, 2021

With individuals and their devices constantly connected to the internet, user data flow is changing how companies interact with their customers. Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data?

Big Data 114

Big Data IT Data-driven Sales 114

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare. Big data capturing.

Big Data 82

Big Data Data Analytics Analytics Internet of Things 82

datapine

OCTOBER 7, 2020

Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data. Top 12 Operational Metrics Examples.

KPI 269

KPI Metrics Sales Visualization 269

erwin

JANUARY 14, 2021

When the pandemic first hit, there was some negative impact on big data and analytics spending. Digital transformation was accelerated, and budgets for spending on big data and analytics increased. But data without intelligence is just data, and this is WHY data intelligence is required.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

CIO Business Intelligence

DECEMBER 18, 2023

Software is starting to run through everything from on-premises to remote services and enables automation, analytics, insights and cybersecurity. With so much choice and a variety of software-defined services, the challenge is bringing all the data together into a single, unified platform.

Software 119

Software Technology Digital Transformation Data-driven 119

AWS Big Data

NOVEMBER 22, 2024

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements. Original code (Glue 2.0)

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. It leverages techniques to learn patterns and distributions from existing data and generate new samples.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

Smart Data Collective

APRIL 14, 2023

Big data technology has had a number of important benefits for businesses in all industries. One of the biggest advantages is that big data helps companies utilize business intelligence. It is one of the biggest reasons that the market for big data is projected to be worth $273 billion by 2026.

Business Intelligence 96

Business Intelligence Strategy Data-driven Visualization 96

datapine

FEBRUARY 25, 2022

3) The Role Of Data Drilling In Reporting. It is no secret that the business world is becoming more data-driven by the minute. Every day, more and more decision-makers rely on data coming from multiple sources to make informed strategic decisions. In general, data drills can be added to any chart or data visualization.

Reporting 173

Reporting Dashboards Visualization Metrics 173

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Data governance: three steps to success.

Data Governance 103

Data Governance Data-driven Data Processing Risk 103

Smart Data Collective

OCTOBER 17, 2022

Businesses are producing more data year after year, but the number of locations where it is kept is increasing dramatically. This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few.

Big Data 117

Big Data Data-driven Recreation/Entertainment Data Governance 117

Cloudera

DECEMBER 15, 2021

The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. 95% of technical decision makers agree that data and analytics are essential for driving progress on DEI.

Data Strategy 90

Data Strategy Strategy Snapshot Data-driven 90

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 is a global standard for financial messaging that aims to standardize electronic data interchange between financial institutions. It provides a structured way of exchanging data for financial transactions, including payments, securities and trade services. Real-Time Payments and Wire Transfer).

Risk Management 110

Risk Management Cost-Benefit Risk Data-driven 110

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

MAY 4, 2022

Further, the company is also transforming its organizational culture to become a more data-driven enterprise by integrating data science applications with supply chains and decision cycles. . Doing more with insights-driven logistics. Drilling down for data-driven projections.

Recreation/Entertainment 98

Recreation/Entertainment Data-driven Marketing Testing 98

AWS Big Data

MAY 4, 2023

In this post, we share how Encored runs data engineering pipelines for containerized ML applications on AWS and how they use AWS Lambda to achieve performance improvement, cost reduction, and operational efficiency. It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. A highly productive team enables an organization to meet its goals and objectives. While there are multiple ways to better your team’s performance, utilizing employee productivity data is among the most effective.

Metrics 102

Metrics Measurement Data-driven Optimization 102

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. A Long, Long Time Ago.

Insurance 102

Insurance Risk Unstructured Data Data-driven 102

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

IBM Big Data Hub

FEBRUARY 5, 2024

These foundation models, built on large language models, are trained on vast amounts of unstructured and external data. They can generate responses like text and images, while simultaneously interpreting and manipulating existing data. They require job plans and work instructions for asset failures and repairs.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. The rise of the data team: from startup to unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

Jet Global

OCTOBER 8, 2020

Most operational finance activities are driven by the month end and ledger close, typically involving a web of steps including transaction processing, reconciliation, journal entry capture, and financial statement preparation. Tip 3: Make decisions with operational data. Tip 1: Overcoming month-end inefficiencies.

Finance 98

Finance Reporting Forecasting Uncertainty 98

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Internet of Things 102