CIO Business Intelligence

APRIL 25, 2024

Currently, a handful of startups offer “reverse” extract, transform, and load (ETL), in which they copy data from a customer’s data warehouse or data platform back into systems of engagement where business users do their work. Acting on data from anywhere in the flow of work. Maintain governance and security.

Data Integration 118

Data Integration Data Lake Metadata Data Warehouse 118

AWS Big Data

MAY 16, 2024

As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data. The uniform scalability and size consistency of H3 make it an ideal structure for organizing data, effectively replacing traditional zip codes in day-to-day operations.

Data Warehouse 79

Data Warehouse Visualization Cost-Benefit Optimization 79

AWS Big Data

FEBRUARY 1, 2024

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. version cluster. version cluster.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

AWS Big Data

NOVEMBER 15, 2023

AWS re:Invent is a powerhouse of a learning event and every time I have attended, I’ve been amazed at its scale and impact. About the author Sunaina AbdulSalah leads product marketing for Amazon Redshift. She focuses on educating customers about the impact of data warehousing and analytics and sharing AWS customer stories.

Data Lake 67

Data Lake Data Warehouse B2B Deep Learning 67

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 94

Management Data Warehouse Metrics Dashboards 94

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 90

Data Warehouse Data Lake Analytics Data Science 90

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

IBM Big Data Hub

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Insurance 87

Insurance Data Warehouse Data-driven Unstructured Data 87

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. A Lambda function is then invoked with these events, and can perform time series calculations in memory.

Analytics 111

Analytics IoT Data-driven Snapshot 111

CIO Business Intelligence

FEBRUARY 15, 2024

It’s then up to the CIO to sound less like a technical guru and more like the finance, marketing, and payroll people, making it clear that every activity takes place on the IT infrastructure. Data is one of the most important levers the CIO can use to have an effective dialogue with the CEO. Software is invisible.

Strategy 125

Strategy Digital Transformation Cost-Benefit Forecasting 125

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

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 67

Data Warehouse Cost-Benefit KPI Risk 67

AWS Big Data

SEPTEMBER 19, 2023

This creates a more competitive market with better, lower-cost options for everyday Americans who aren’t being served well by traditional banks. Problem statement In order to keep up with the rapid movement of fraudsters, our decision platform must continuously monitor user events and respond in real-time.

Analytics 78

Analytics Risk Big Data Machine Learning 78

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 121

Cost-Benefit Internet of Things Data-driven Data Lake 121

AWS Big Data

NOVEMBER 8, 2023

Scaling serverless data processing with Amazon Kinesis and Apache Kafka: Explore how to build scalable data processing applications using AWS Lambda. Learn practical insights into integrating Lambda with Amazon Kinesis and Apache Kafka using their event-driven models for real-time data streaming and processing.

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

Cloudera

JULY 21, 2022

Co-author: Mike Godwin, Head of Marketing, Rill Data. Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Cloudera Data Warehouse). Efficient batch data processing.

Metrics 85

Metrics Slice and Dice Data Warehouse Dashboards 85

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 142

Data mining Data-driven Statistics OLAP 142

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 115

Data Strategy Strategy Visualization Consulting 115

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

Machine Learning 144

Machine Learning Cost-Benefit Data-driven Strategy 144

Smart Data Collective

JULY 20, 2021

According to market research – The global CRM market size was estimated at USD 43.7 The current market is overpacked with several CRMs; hence, selecting the best CRM for business operations has become challenging for organizations. However, there are many CRMs in the online market, but nothing can beat Salesforce.

Sales 141

Sales Big Data Marketing Software 141

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

Alation

APRIL 14, 2023

People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. In “The modern data stack is dead, long live the modern data stack!”

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. dbt emerged as the perfect choice for this transformation within their existing AWS environment.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

AWS Big Data

JUNE 23, 2023

Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes.

Data Lake 67

Data Lake Cost-Benefit Dashboards Data Warehouse 67

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

AWS Big Data

NOVEMBER 13, 2023

Visit us at the AWS Analytics Kiosk in the AWS Village at the Expo to discover the AWS Analytics Superhero in you, participate in a playful quiz and AWS book signing events. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. Watch this space for additional details.

Analytics 112

Analytics Data Lake Data Warehouse Data-driven 112

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 73

Dashboards Data Warehouse Visualization Data Processing 73

AWS Big Data

APRIL 3, 2024

The AWS Glue crawler generates and updates Iceberg table metadata and stores it in AWS Glue Data Catalog for existing Iceberg tables on an S3 data lake. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location. Deenbandhu Prasad is a Senior Analytics Specialist at AWS, specializing in big data services.

Data Lake 94

Data Lake Snapshot Metadata Data Architecture 94

CIO Business Intelligence

JUNE 21, 2023

While the company was well into its cloud journey when the pandemic hit, such a seismic event for a food distributor called for a major overhaul of its strategic vision, R&D plans, and digital transformation, Peck says. We needed to transform ourselves … and grow faster than our competitors and faster than our markets required.

IT 84

IT B2B Digital Transformation Sales 84

IBM Big Data Hub

SEPTEMBER 19, 2023

Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 86

Data Science Data Analytics Prescriptive Analytics Analytics 86

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 67

Modeling Sales Data Warehouse Snapshot 67

CIO Business Intelligence

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Working with the real-time data and the features in one centralized database environment accelerates machine learning model execution.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

AWS Big Data

JULY 12, 2023

Organizations use their data to extract valuable insights and drive informed business decisions. Introduction to Amazon Redshift Amazon Redshift is a fast, fully-managed, self-learning, self-tuning, petabyte-scale, ANSI-SQL compatible, and secure cloud data warehouse. Etleap simplifies the data pipeline building experience.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 100

Metadata Data Lake Publishing Data Governance 100