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

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

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

JUNE 16, 2022

Often, enterprise data ecosystems are built with a mindset that’s too narrow. Many organizations house their data in a variety of “fiefdoms” or silos. This might have worked for one team or one project or one application, but the end result of this effort was to lock data in a variety of silos across the organization.

IT 135

IT Experimentation IoT Data-driven 135

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

AWS Big Data

NOVEMBER 9, 2023

Data ingestion, whether real time or batch, forms the basis of any effective data analysis, enabling organizations to gather information from diverse sources and use it for insightful decision-making. It’s raw, unprocessed data straight from the source.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

Jedox

OCTOBER 22, 2020

The goal in addressing these pain points is to empower your stakeholders (both within Finance/FP&A and your business partners) to be able to deliver: Consistent reporting and dashboards. Typically, we take our multiple data sources and perform some level of ETL on the data. Self-service reporting. Exception reporting.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

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 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Sisense

SEPTEMBER 3, 2020

Database design is often an important part of the business analyst role. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

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

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

CIO Business Intelligence

MARCH 6, 2024

Integrating gen AI In addition to governance, SAP also announced it integrated SAP SAC, the company’s business intelligence and planning solution, with its generative AI copilot, Joule, enabling it to automate the creation and development of reports, dashboards, plans, and more.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart.

Testing 157

Testing Metadata Dashboards Statistics 157

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events.

Metadata 95

Metadata Dashboards Metrics Visualization 95

AWS Big Data

NOVEMBER 13, 2023

Gameskraft used Amazon Redshift workload management (WLM) to manage priorities within workloads, with higher priority being assigned to the extract, transform, and load (ETL) queue that runs critical jobs for data producers. Changing all interleaved key tables on the producer cluster to compound sortkey tables to seamlessly transition data.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Cloudera

JUNE 30, 2022

Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in. Organizations want modern data architectures that evolve at the speed of their business and we are happy to support them with the first open data lakehouse. .

Data Lake 87

Data Lake Data Architecture Metadata Data Warehouse 87

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Amazon Redshift is simple to interact with. Choose Create IAM role as default.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

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.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

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 97

Data Warehouse Data Lake Analytics Machine Learning 97

IBM Big Data Hub

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. Data quality monitoring is the practice of revisiting previously scored datasets and reevaluating them based on the six dimensions of data quality. appeared first on IBM Blog.

Data Quality 67

Data Quality Data Integration Metadata Cost-Benefit 67

Smarten

JUNE 1, 2022

The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Data Warehouse 76

Data Warehouse Software Data Architecture Consulting 76

Peter James Thomas

AUGUST 2, 2019

Business Glossary (contributor: Tenny Thomas Soman ). Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Chart (Graph).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

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 109

Analytics Data Lake Data Warehouse Data-driven 109

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. Beyond the technical aspects, the goals are far loftier.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

IBM Big Data Hub

JUNE 8, 2023

Essential data is not being captured or analyzed—an IDC report estimates that up to 68% of business data goes unleveraged—and estimates that only 15% of employees in an organization use business intelligence (BI) software. New bullet charts help users compare performance metrics to other measures.

Business Intelligence 66

Business Intelligence Enterprise Dashboards Digital Transformation 66

CIO Business Intelligence

NOVEMBER 7, 2023

This team has helped the company to align data across business areas; establish a data governance function to enable trust, privacy, and security of the data; and invest in the talent and technology needed to build a holistic data architecture across Lexmark, Gupta says.

Data Warehouse 142

Data Warehouse Digital Transformation Reporting Data-driven 142

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

Birst BI

OCTOBER 24, 2019

DaaS is a core component of modern data architecture. It provides a governed standard for accessing existing data objects and pipelines for sharing new data objects within an organization. Because it hides the underlying complexities of connecting to and preparing data sources, DaaS helps expand usage of available data.

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

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

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

BI-Survey

FEBRUARY 6, 2020

ML helps users prepare data to enhance reports and to select appropriate data visualizations in visual analysis and dashboards. Only a minority of companies say they have a modern reporting landscape and regularly base decisions on data. This will and must change.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Birst BI

FEBRUARY 25, 2020

However, analytic silos can still be a huge problem if the business intelligence platform paired with Snowflake does not offer the right balance of IT governance and end-user self-service. Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52