IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 78

Insurance Data Warehouse Data-driven Unstructured Data 78

Sisense

APRIL 17, 2020

Understanding the details is key, otherwise “digital transformation” will be merely a corporate buzzword that causes headaches, heartbreaks, and lost money instead of producing measurable improvements. Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

CIO Business Intelligence

JUNE 23, 2023

There are also no-code data engineering and AI/ML platforms so regular business users, as well as data engineers, scientists and DevOps staff, can rapidly develop, deploy, and derive business value.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

CIO Business Intelligence

MARCH 16, 2022

But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation. CIO Middle East: Data Analytics is key in healthcare. When we look into the analytics scenario of healthcare, the accurate word to describe it is ‘clinical business intelligence’.

Technology 116

Technology Digital Transformation Business Intelligence Data Warehouse 116

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. The user permissions are evaluated using AWS Lake Formation to filter the relevant data.

Data Governance 96

Data Governance Unstructured Data Metadata Data Lake 96

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Measure success. Create tests.

Testing 152

Testing Dashboards Measurement Experimentation 152

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The first diagram illustrates the architecture before using data sharing. The following diagram illustrates this process.

Testing 100

Testing Data Warehouse Metrics Cost-Benefit 100

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. Providing true self-service analytics.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Cloudera

DECEMBER 21, 2023

Some are returning errors that are difficult to find—and if you’re missing KPIs you have to fix, optimize, and measure every bit of code, which can take a considerable amount of time and trial and error. Let’s say that the list of stores by sales just isn’t helping us understand our performance measures quite right. What a nightmare!

Optimization 67

Optimization Sales Data Warehouse Measurement 67

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? Social business intelligence tools help encourage collaboration, reveal the data and content valuable to users, and help create popular business users and content. EXPERT OPINION]. Summing Up.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Deciding on KPIs to gauge a data architecture’s effectiveness.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

NOVEMBER 22, 2022

“Unique insights derived from an organization’s data constitute a competitive advantage that’s inherent to their business and not easily copied by competitors,” she observes. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. Avik Bhattacharjee is a Senior Partner Solutions Architect at AWS.

Data Quality 72

Data Quality Metrics Visualization Dashboards 72

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Users have become increasingly hungry for quicker access to trusted and timely data, and a way to access that data with less reliance on the busy Central Analytics Technology team.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

CIO Business Intelligence

SEPTEMBER 6, 2022

“‘It’ being everything from how they collect and measure data, to how they understand it and their own glossary. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. “I Establishing a clear and unified approach to data.

IT 98

IT Forecasting Data Lake Enterprise 98

Laminar Security

DECEMBER 13, 2023

They offer a comprehensive solution to enhance your cloud security posture and effectively manage your data. The primary focus of discovery is to find all the places where data exists and identify the assets it resides in. This integration allows for more powerful and sophisticated data discovery and classification processes.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 114

Analytics IoT Data-driven Snapshot 114

Alation

APRIL 25, 2023

Overlooking day-to-day details While the aspirations of your data governance plan should be big, the daily actions of putting them into place may often seem small. But remember to set achievable and measurable goals along the way. Achieving these goals will help demonstrate the value of data governance to your employees.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

AWS Big Data

MAY 18, 2023

You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses. AWS Glue released version 4.0 runtime ( 3.5

Testing 78

Testing Data Lake Cost-Benefit Data Integration 78

Jen Stirrup

MAY 5, 2020

Organizations need to recast storing their data. It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. We can use the robustness of Microsoft Azure as a platform for doing Big Data analytics in the cloud.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. Being numbers and data-driven: There are many expectations when it comes to working with BI and data analytics. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 96

Data Warehouse Cost-Benefit Dashboards Optimization 96

Alation

APRIL 25, 2023

Overlooking day-to-day details While the aspirations of your data governance plan should be big, the daily actions of putting them into place may often seem small. But remember to set achievable and measurable goals along the way. Achieving these goals will help demonstrate the value of data governance to your employees.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

AWS Big Data

DECEMBER 19, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it a widely used cloud data warehouse.

Data Analytics 62

Data Analytics Analytics Data Warehouse Data-driven 62

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 93

Data Warehouse Data Lake Analytics Data Science 93

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Big Data Storage Optimization. Enterprise Big Data Strategy.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? Social business intelligence tools help encourage collaboration, reveal the data and content valuable to users, and help create popular business users and content. EXPERT OPINION]. Summing Up.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. Loading data is a key process for any analytical system, including Amazon Redshift.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

CIO Business Intelligence

MARCH 22, 2022

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

CIO Business Intelligence

DECEMBER 22, 2022

Research firm Gartner further describes the methodology as one focused on “improving the communication, integration, and automation of data flows between data managers and data consumers across an organization.” The approach values continuous delivery of analytic insights with the primary goal of satisfying the customer.

Analytics 130

Analytics Machine Learning Software Data mining 130

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? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

AWS Big Data

MARCH 26, 2024

Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. Your analytics strategy applies to the wider organizational needs, not just C360. Learn from this to build querying capabilities across your data lake and the data warehouse.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Jet Global

MARCH 6, 2020

Throughput and O verall E quipment E ffectiveness : Measuring how much is produced per line by time. Inventory Turns : Measuring amount of inventory maintained per manufacturing step. Failed Audits : Measuring the number of failed audits prior to a shipment going out. The higher the better.

Manufacturing 75

Manufacturing Data-driven Finance KPI 75