erwin

JULY 12, 2019

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

NOVEMBER 15, 2022

In an outcome-based engagement, Veeam’s global systems integrator (GSI) partners work with end customers to understand their business objectives—such as their RTO/RPO requirements, appetite for data loss and time loss in case of an incident—and then work backward to build the data architecture required to meet the objectives. “On

Marketing 52

Marketing Business Objectives Risk Data Architecture 52

Smart Data Collective

SEPTEMBER 15, 2021

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

IoT 108

IoT Business Objectives Software Manufacturing 108

bridgei2i

JUNE 23, 2021

An AI Consulting Company provides support to organizations to build the right data strategy for AI implementation. They enable companies to identify the problems to collect relevant and accurate data and acquire it constantly. It enables them to identify how their business can best use AI. Identify KPIs.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

AWS Big Data

FEBRUARY 16, 2024

For instructions, refer to Centralize governance for your data lake using AWS Lake Formation while enabling a modern data architecture with Amazon Redshift Spectrum. Swapna has a passion towards understanding customers data and analytics needs and empowering them to develop cloud-based well-architected solutions.

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

Cloudera

JULY 29, 2022

As my colleague Wim Stoop previously shared, “A well-planned enterprise data strategy helps companies get the most of their data, making it known, discoverable, available, trusted, and compliant. This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy.

Data Architecture 83

Data Architecture Data Strategy Risk Management Strategy 83

Dataiku

AUGUST 20, 2019

Data architects have a tendency to feel like unicorns: somehow they can manipulate data storage and computation structures like putty and also keep business objectives in mind.

Business Objectives 32

Business Objectives Data Architecture 32

CIO Business Intelligence

FEBRUARY 20, 2023

The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? In the next section, we’ll discuss more about why your data landscape is so vital to your company’s success.

ROI 52

ROI Measurement Data-driven Data Transformation 52

CIO Business Intelligence

SEPTEMBER 20, 2023

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. So in the data part, we’ve grown with technologies that weren’t convergent.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

Cloudera

NOVEMBER 25, 2021

A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency).

Machine Learning 86

Machine Learning IoT Risk Digital Transformation 86

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

IBM Big Data Hub

JULY 7, 2023

While Big Data and artificial intelligence (AI) provide the numbers, knowledge workers are key to understanding them. Data integration and democratization: Data democratization is an approach to data architecture that allows people throughout the organization to access, use and talk about the data they need with ease.

Cost-Benefit 72

Cost-Benefit Consulting Management Data-driven 72

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. However, data mesh is not about introducing new technologies.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

FineReport

MARCH 31, 2024

Flexible pricing options, including self-hosted and cloud-based plans, accommodate businesses of all sizes. Key Features: Integrated data architecture simplifies data preparation and analysis processes. In-chip data engine ensures swift processing, even with large datasets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. reduce technology costs, accelerate organic growth initiatives).

Cost-Benefit 76

Cost-Benefit Data Warehouse Data Processing Data Governance 76