CIO Business Intelligence

MARCH 25, 2025

Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Engineering teams also risk drowning in tangled service interactions instead of delivering new features.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. In practice, OTFs are used in a broad range of analytical workloads, from business intelligence to machine learning.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

Jet Global

JANUARY 17, 2022

Business intelligence requirements in this category may include dashboards and reports as well as the interactive and analytical functions users can perform. Interactivity and automation: Do users need to be able to interact with your dashboards? Data Environment. End-User Experience.

Business Intelligence 52

Business Intelligence Visualization Dashboards Interactive 52

CIO Business Intelligence

MARCH 6, 2024

And while the SAP products are very capable with respect to its data estate, Collibra has built its entire architecture around governing and working with a variety of products.” The combination enables SAP to offer a single data management system and advanced analytics for cross-organizational planning.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

CIO Business Intelligence

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. Putting data in the hands of the people that need it. The study results don’t surprise us.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

IBM Big Data Hub

AUGUST 4, 2023

Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program. Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

NOVEMBER 27, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL, business intelligence (BI), and reporting tools. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

CIO Business Intelligence

OCTOBER 25, 2022

Improve risk, governance, and compliance with a comprehensive view of data contained in processes and interactions so it can be secured and protected to meet these regimes. The use of a data platforms to drive new product offers and address customer needs is already beginning.

Insurance 119

Insurance Data Architecture Data-driven Interactive 119

CIO Business Intelligence

SEPTEMBER 17, 2024

Assistants, advisors, and agents are reducing business processing time, automating more manual and semi-manual workloads within applications and across them, and bringing more autonomous workflows into the business, North Rizza explained. “A The core product will still be there, but the way we interact with them will change.”

IT 122

IT Recreation/Entertainment Finance Reporting 122

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Satori interacts with identity providers either via API or by using the SAML protocol.

Data Warehouse 115

Data Warehouse Interactive Data Architecture Data-driven 115

Jen Stirrup

MARCH 29, 2023

SAP Datasphere helps eliminate hidden data debt within organizations, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact. Business Intelligence is often a search problem in disguise.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 119

Analytics Data Lake Data Warehouse Data-driven 119

CIO Business Intelligence

JUNE 23, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 97

IT Data Architecture Unstructured Data Big Data 97

CIO Business Intelligence

SEPTEMBER 19, 2024

The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG [retrieval augmented generation] stacks, advanced data architectures, and specialized expertise.” “Agentic AI is all the rage as companies push gen AI beyond basic tasks into more complex actions,” Chaurasia and Maheshwari say.

IT 138

IT Cost-Benefit Consulting Modeling 138

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 Data-driven 98

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 94

Data Lake Data Warehouse Machine Learning Data-driven 94

AWS Big Data

JULY 28, 2023

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting.

Big Data 98

Big Data Data Architecture Data Lake Interactive 98

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3). This is the Data Mart stage.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

CIO Business Intelligence

JULY 13, 2022

The latest developments in the cloud space are pushing existing boundaries, especially now with how machine learning and AI are transforming business intelligence. Visiting our different offices gives me a clearer picture of the landscape in which our business operates, from cultural nuances to regulations.

Data-driven 98

Data-driven Uncertainty Data Architecture Machine Learning 98

Cloudera

JULY 12, 2022

The latest developments in the cloud space are pushing existing boundaries, especially now with how machine learning and AI are transforming business intelligence. Visiting our different offices gives me a clearer picture of the landscape in which our business operates, from cultural nuances to regulations.

Data-driven 107

Data-driven Uncertainty Data Architecture Machine Learning 107

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

CIO Business Intelligence

FEBRUARY 21, 2023

Kay points to the creation and use of a principal design system as an illustrative example, saying it is meant to ensure that the company’s customers have a consistent experience when interacting with the company regardless of where those customers are located.

Digital Transformation 145

Digital Transformation Marketing Technology Business Driver 145

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Moreover, many customers are looking for an architecture where they can combine the benefits of a data lake and a data warehouse in the same storage location.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

JULY 2, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Data Warehouse 118

Data Warehouse Sales Testing Big Data 118

Ms SQL Girl

JUNE 10, 2015

This is a much belated follow up to my very first blog post Open Your Mind To Business Intelligence from 4 years ago. The great news is, there is a book that can help you “open your mind to Business Intelligence”, reflecting the latest version of Microsoft BI Stack (as at the time of writing).

Data mining 40

Data mining Business Intelligence Visualization Operational Reporting 40

Ms SQL Girl

JUNE 10, 2015

This is a much belated follow up to my very first blog post Open Your Mind To Business Intelligence from 4 years ago. The great news is, there is a book that can help you “open your mind to Business Intelligence”, reflecting the latest version of Microsoft BI Stack (as at the time of writing).

Data mining 40

Data mining Business Intelligence Visualization Operational Reporting 40

AWS Big Data

NOVEMBER 9, 2023

Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications. It’s raw, unprocessed data straight from the source.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

Sisense

SEPTEMBER 3, 2020

Database specialists may be charged with looking after other data repositories used by the organization, such as data stores, marts, warehouses, and lakes. If you are excited by tackling complex challenges using self-service tools and maybe some SQL, then either of these data job titles could suit you.

Statistics 97

Statistics Metrics Visualization Finance 97

AWS Big Data

FEBRUARY 1, 2024

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. Take, for instance, the domain of business intelligence and the problem of discoverability. Read more at [link].

Technology 75

Technology Enterprise Data Integration Structured Data 75

CIO Business Intelligence

AUGUST 21, 2024

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. The systems are fed the data, and trained, and then improve over time on their own.” According to Gartner, an agent doesn’t have to be an AI model.

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. In either case, CIOs need to develop pipelines to connect gen AI models to internal data sources.

Sales 98

Sales Modeling Cost-Benefit Data Processing 98

CIO Business Intelligence

AUGUST 3, 2023

In the past, First Service Credit Union’s Chief data officer Ty Robbins struggled to integrate data from the legacy, non-relational, and often proprietary tabular databases on which many credit unions run. But before reaping such benefits, “you’ve got to get the infrastructure right and the data clean,” says Davis.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

CIO Business Intelligence

AUGUST 9, 2023

In addition, managing the data created by generative AI models is becoming a crucial aspect of the AI lifecycle. That newly generated data, from AI interactions, simulations, or creative outputs, must be properly stored, organized and curated for various purposes like model improvement, analysis, and compliance with data governance standards.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52