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 132

Machine Learning Cost-Benefit Data-driven Strategy 132

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. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 113

Analytics IoT Data-driven Snapshot 113

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

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 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Jedox

OCTOBER 22, 2020

Data analytics is not new. Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. Typically, we take our multiple data sources and perform some level of ETL on the data.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

JANUARY 29, 2021

The right platform must have the ability to ingest, store, manage, analyze and process streaming data from all points in the value chain, combine it with Data Historians, ERP, MES and QMS sources, and leverage it into actionable insights. Lack of Clear ROI .

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

Alation

AUGUST 18, 2022

But what data things are interconnected? Most of the time we think about data fields & files, columns & tables, reports & dashboards. Thomas McCabe’s Cobol control-flow graphs laid the groundwork for data lineage as we know it today. And we think about how they are manipulated using some form of processing.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

DataKitchen

NOVEMBER 29, 2021

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

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 100

Data Architecture Data Integration IoT Strategy 100

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 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

NOVEMBER 13, 2023

Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster. Also, over time the number of BI dashboards (both scheduled and live) increased, which contributed to more queries being submitted to the Redshift cluster.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link? That is the key.

Analytics 64

Analytics Measurement Modeling Data-driven 64

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

Cloudera

SEPTEMBER 7, 2023

This puts the onus on institutions to implement robust data encryption standards, process sensitive data locally, automate auditing, and negotiate clear ownership clauses in their service agreements. But these measures alone may not be sufficient to protect proprietary information. Facilitate communication between stakeholders.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

MARCH 26, 2024

You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Sisense

SEPTEMBER 3, 2019

dashboards), it can leave your consumers frustrated with their experience. Modeling Your Data for Performance. Data architecture. The data landscape has changed significantly over the last two decades. Inversely though, if your cluster is used for production reporting (i.e. Cluster Performance Configurations.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

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 63

Business Intelligence Enterprise Dashboards Digital Transformation 63

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

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. Architectures and modern tools which enable business users to search, prepare and analyze data will pave the way to reacting promptly to market changes.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52