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. They aren’t alone.

Data-driven 102

Data-driven Marketing Big Data Machine Learning 102

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

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 110

Business Intelligence Strategy Data-driven Visualization 110

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Explosive data growth can be too much to handle.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

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 124

Metadata Snapshot Data Lake Metrics 124

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

Smart Data Collective

JULY 9, 2023

Despite the many benefits that big data offers to the e-commerce sector, many companies are struggling to use it effectively. We have talked a lot about the importance of big data in e-commerce. A growing number of ecommerce brands are using centralized data systems to help improve efficiency.

Big Data 98

Big Data Data-driven Sales Risk 98

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. Omid Vahdaty, CTO of Jutomate Ltd.,

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Cloudera

AUGUST 12, 2021

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Data enables Innovation & Agility.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Rocket-Powered Data Science

MARCH 10, 2020

All of that “metadata” (which is simply “other data about your data”) enables rich discovery of shortest paths, central nodes, and communities. Any node and its relationship to a particular node becomes a type of contextual metadata for that particular note.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

Cloudera

OCTOBER 28, 2021

The German underwriters analyzed historical data such as weather, location, breed, type of crop, and a farmer’s experience to assess risk, underwrite and set price exposures. In this way, the Commercial Lines segment of insurance has really been a user of big data since its inception. Another example is fleet management.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

Smart Data Collective

DECEMBER 15, 2021

Personalization is among the prime drivers of digital marketing, thanks to data analytics. Gathered data enables business owners to understand the needs of buyers. When buyers connect the right way, make purchase decisions, there are positive returns on investment. Personalized Services.

ROI 134

ROI Marketing Data Analytics Analytics 134

CIO Business Intelligence

JUNE 23, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Choosing an open data lakehouse powered by Apache Iceberg gives companies the freedom of choice for analytics. Cloud Management

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 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 Machine Learning 102

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Cloudera

JANUARY 13, 2021

Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation. Putting data at the heart of the organisation. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Sisense

JANUARY 13, 2020

Here are three key areas where data adds value to the manufacturing process to give companies a competitive edge. How data enhances product development. Every part of a business generates big Data. At the same time, data can inform a company about potential markets so it can judge how much risk an innovation carries.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Cloudera

JUNE 18, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Choosing an open data lakehouse powered by Apache Iceberg gives companies the freedom of choice for analytics.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

IBM Big Data Hub

DECEMBER 20, 2023

Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. Today, hybrid cloud security platforms combine artificial intelligence (AI) , machine learning and automation to ingest high volumes of complex security data, enabling near-real-time threat detection and prediction.

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

Smart Data Collective

NOVEMBER 1, 2023

Some of the data types you can use to better employee engagement include: Feedback data: Thi refers to employee recommendations and opinions and their responses and reactions to the company’s actions.

Metrics 120

Metrics Measurement Data-driven Optimization 120

IBM Big Data Hub

APRIL 18, 2023

Increased automation: ISO 20022 provides a more structured way of exchanging payment data, enabling greater automation and reducing the need for manual intervention, all of which help reduce errors and improve overall payment processing efficiency. These can help to increase customer satisfaction and loyalty.

Risk Management 110

Risk Management Cost-Benefit Risk Data-driven 110

Smart Data Collective

AUGUST 14, 2022

Also, data can be accidentally leaked from storage due to human error. Monitoring all sensitive data enables companies to identify potential vulnerabilities and secure endpoints before a data leakage can occur. Storage DLP strives to pinpoint confidential files in storage and monitor who accesses and shares them.

Risk 139

Risk Cost-Benefit Software Reporting 139

Sisense

OCTOBER 6, 2020

With all this potential to find new insights, it’s no surprise that 97% of business leaders say their businesses are investing in big data and AI initiatives. Better together: Working with qualitative data and quantitative data. Quantitative data is the bedrock of your BI and analytics.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

FEBRUARY 5, 2024

By using hybrid AI/ML models, generative AI generates failure and effects analyses from historical data, enabling you to prioritize and reduce serial failures by up to 25%–50% while increasing site reliability by 10%–15%.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. According to Forbes , almost three-quarters of entrepreneurs are already using big data to try and pull ahead of the competition.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time.

Data Analytics 113

Data Analytics Analytics Data Warehouse Data Lake 113

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Smart Data Collective

FEBRUARY 25, 2021

AI-driven software services include big data enabled CRM systems , custom dashboards, system integrations, booking platforms and any other systems meant to make any action easier for both you and your users. Understand how your customers interact with your website, see where they get stuck.

Software 69

Software Machine Learning Data-driven Marketing 69

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. Watsonx, IBM’s next-generation AI platform, is designed to do just that.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 121

Data Warehouse Analytics Data Lake Machine Learning 121

IBM Big Data Hub

JANUARY 29, 2024

Automation will play a pivotal role in transforming the data center, where scale and complexity will outpace the ability of humans to keep everything running smoothly. For you as a business leader, this means pivoting from manual methods to a more streamlined, technology-driven and data-enabled approach.

Data-driven 64

Data-driven Optimization Machine Learning Consulting 64

IBM Big Data Hub

SEPTEMBER 12, 2023

Historical data and trends: Automated systems can efficiently store and analyze historical data, enabling trend analysis and pattern recognition. Automation, once set up, can operate continuously and efficiently without incurring additional human resource expenses.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

IBM Big Data Hub

NOVEMBER 2, 2022

Oerthle, Head of Analytics Reporting & Infrastructure, ALH Gruppe shared, “With the new IBM Analytics Content Hub, we are able to connect internal stakeholders to multiple different BI solutions for easier, faster access to self-service data, enabling better outcomes for our end customers.”.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

IBM Big Data Hub

AUGUST 11, 2023

Furthermore, MES systems provide organizations with comprehensive and accurate production data, enabling data-driven decision-making to continuously enhance business processes and optimize resource utilization.

Software 68

Software Manufacturing Internet of Things Cost-Benefit 68

AWS Big Data

FEBRUARY 22, 2023

The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3. AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. To better understand this, imagine a chatbot that helps travelers book their travel.

Data Lake 112

Data Lake Unstructured Data Management Snapshot 112