CIO Business Intelligence

NOVEMBER 28, 2023

In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy. Contributing to the general lack of data about data is complexity.

Management 131

Management Data Architecture Data Lake Data Strategy 131

AWS Big Data

DECEMBER 4, 2024

Inspired by these global trends and driven by its own unique challenges, ANZ’s Institutional Division decided to pivot from viewing data as a byproduct of projects to treating it as a valuable product in its own right. For instance, one enhancement involves integrating cross-functional squads to support data literacy.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. A change was needed.

Data Science 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. This is inefficient from both a cost and performance perspective.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

CIO Business Intelligence

APRIL 12, 2023

All of this needs to work cohesively in a real-time ecosystem and support the speed and scale necessary to realize the business benefits of real-time AI. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

AWS Big Data

AUGUST 1, 2024

These challenges can range from ensuring data quality and integrity during the migration process to addressing technical complexities related to data transformation, schema mapping, performance, and compatibility issues between the source and target data warehouses.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

Cloudera

SEPTEMBER 2, 2020

CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). in an on-premise environment.

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 105

Data-driven Machine Learning Data Lake Cost-Benefit 105

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Cloudera

JANUARY 30, 2024

But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits. Develop a data strategy built on a robust data platform.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

BizAcuity

APRIL 14, 2022

The return on investment is a huge concern expressed by a fair share of businesses or if they are ready yet for managing such a huge level of data. The truth is that with a clear vision, SMEs too can benefit a great deal from big data. Data Management. It includes data generation, aggregation, analysis and governance.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization? What are your data and AI objectives?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

DECEMBER 14, 2021

How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation. What about other data sources? Customer stories shed light on the cloud benefits for analytics. Other Keynote Highlights. In Conclusion.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

IBM Big Data Hub

APRIL 25, 2023

Optimizing your data lakehouse architecture Fortunately, the IT landscape is changing thanks to a mix of cloud platforms, open source and traditional software vendors. The rise of cloud object storage has driven the cost of data storage down.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Sisense

NOVEMBER 12, 2020

The traditional data warehouses solved the problem of processing and synthesizing large data volumes, but they presented new challenges for the analytics process. Cloud data warehouses took the benefits of the cloud and applied them to data warehouses — bringing massive parallel processing to data teams of all sizes.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Peter James Thomas

APRIL 3, 2020

I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. In actual fact, for a greenfield site, a Structured Reporting Framework should mostly be a byproduct of taking a best practice approach to delivering data capabilities. Introduction.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

BizAcuity

MAY 16, 2022

Not any student but a rank holder in mathematics and chemistry who was tasked with assessing the quality of their brew in a cost effective manner. For business intelligence to work out for your business – Define your data strategy roadmap. Your data strategy and roadmap will eventually lead you to a BI strategy.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

MAY 24, 2022

To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. Without a clear data strategy that’s aligned to their business requirements, being truly data-driven will be a challenge.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

OCTOBER 1, 2024

With Simba drivers acting as a bridge between Trino and your BI or ETL tools, you can unlock enhanced data connectivity, streamline analytics, and drive real-time decision-making. Let’s explore why this combination is a game-changer for data strategies and how it maximizes the value of Trino and Apache Iceberg for your business.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

JUNE 13, 2022

But the benefits of enhanced functionality, the power of the cloud, and increased ROI are reason enough for organizations across the world to convert every day. When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Different Approaches to Migration.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

AWS Big Data

APRIL 29, 2025

Businesses increasingly require scalable, cost-efficient architectures to process and transform massive datasets. At the BMW Group, our Cloud Efficiency Analytics (CLEA) team has developed a FinOps solution to optimize costs across over 10,000 cloud accounts. As our solution grew, we faced challenges with query performance and costs.

Data Transformation 54

Data Transformation Cost-Benefit Testing Data Lake 54