CIO Business Intelligence

APRIL 5, 2023

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. Afterward, he will answer questions in a lively discussion with attendees.

Strategy 98

Strategy Data Strategy Digital Transformation Data-driven 98

Data Virtualization

JUNE 3, 2021

Federal Data Strategy, announced last year, is a call for agencies to modernize their data infrastructures. Federal Data Strategy appeared first on Data Virtualization blog. Federal Data Strategy appeared first on Data Virtualization blog.

Data Strategy 52

Data Strategy Strategy Data Integration Technology 52

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

AWS Big Data

NOVEMBER 15, 2023

F1 uses all that data with AWS to gain insights on race strategy and car performance. They also integrate some of those insights into the live TV broadcast to entertain and educate fans. You can race slot cars while seeing AWS technologies pull data in real time.

Broadcasting 114

Broadcasting Recreation/Entertainment Data Governance Strategy 114

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

CIO Business Intelligence

JUNE 16, 2022

Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture. Data moves through a data ecosystem via applications, data streams, databases, and analytic platforms. Innovation at integration points.

IT 135

IT Experimentation IoT Data-driven 135

CIO Business Intelligence

AUGUST 2, 2023

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind.

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

CIO Business Intelligence

JANUARY 5, 2024

We closed three of our own data centers and went entirely to the cloud with several providers, and we also assembled a new data strategy to completely restructure the company, from security and finance, to hospitality and a new website. You mentioned assembling a new data strategy to restructure the company.

IT 116

IT Finance Cost-Benefit Strategy 116

CIO Business Intelligence

MAY 2, 2022

Mason, highly skilled in using data to inform transformational changes in a business, will share insights about leading data projects as well as field questions in a live discussion with attendees. Travelers Senior Vice President and Chief Data and Analytics Officer Mano Mannoochahr will discuss creating a data-first culture.

Advertising 98

Advertising Data Governance Insurance Strategy 98

IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Practice proper data hygiene across interfaces. How to build a data architecture that improves data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. But what is the right data modeling approach?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

BizAcuity

MAY 16, 2022

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. So, make sure you have a data strategy in place. Data Integration. Conclusion.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Data Virtualization

NOVEMBER 17, 2022

The idea seems, on the face of it, easy to understand: a data catalog is simply a centralized inventory of the data assets within an organization. Data catalogs also seek to be the. The post Choosing a Data Catalog: Data Map or Data Delivery App?

Data Integration 59

Data Integration Management Data Lake IT 59

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Peter James Thomas

SEPTEMBER 19, 2018

Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ). Data Democratisation. Data Dictionary. Data Engineering. Data Ethics. Data Integrity. Data Lineage. Data Platform. Data Strategy. Referential Integrity.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

IBM Big Data Hub

JUNE 21, 2022

When it comes to selecting an architecture that complements and enhances your data strategy, a data fabric has become an increasingly hot topic among data leaders. This architectural approach unlocks business value by simplifying data access and facilitating self-service data consumption at scale. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

BizAcuity

MAY 24, 2022

Without a well-thought of data strategy and framework in place, the cloud strategy could prove to be more expensive than it has to be. To try and test the platforms in accordance with data strategy and governance. Reasons may vary from business to business but integration is the cornerstone for customer success.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

AWS Big Data

JANUARY 12, 2024

Amazon Kinesis and Amazon MSK also have capabilities to stream data directly to a data lake on Amazon S3. S3 data lake Using Amazon S3 for your data lake is in line with the modern data strategy. With this approach, you can bring compute to your data as needed and only pay for capacity it needs to run.

Data Lake 96

Data Lake Cost-Benefit Visualization Structured Data 96

Octopai

JANUARY 31, 2021

One of Russom’s articles to note looks at the role data lineage plays when it comes to modern data management. By fully understanding the origin and flow of data, strategy and business plans can be transformed. Techcopedia follows the latest trends in data and provides comprehensive tutorials. Techcopedia.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach.

Data Governance 98

Data Governance Unstructured Data Metadata Data Lake 98

Smart Data Collective

NOVEMBER 12, 2020

Technical support services in a world driven by data offer a lot of benefits. One of the most important benefits of using technical support to supplement your big data strategy is improved convenience. Convenience. Self-service options are useful, but clients also expect access to advanced assistance as they require it.

Big Data 140

Big Data Consulting Data-driven Cost-Benefit 140

erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

Cost-Benefit 71

Cost-Benefit Data Integration Data Architecture Manufacturing 71

Jet Global

DECEMBER 31, 2019

Every business today is a technology business and the fuel that largely powers it is data. If a data strategy is not being executed today, you’re already late. Now is the time to understand the essential role of data in your organization, get the required education, hire the right talent, and put it to work.

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

FEBRUARY 9, 2023

He’s on a mission to make life easier for customers who are facing complex data integration challenges. Amit Shah is a cloud based modern data architecture expert and currently leading AWS Data Analytics practice in Atos. His secret weapon?

Data Warehouse 77

Data Warehouse Data-driven Snapshot Testing 77

CIO Business Intelligence

NOVEMBER 29, 2022

It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

CIO Business Intelligence

JANUARY 9, 2023

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

bridgei2i

APRIL 28, 2020

And so that process with curation or identifying which data potentially is a leading indicator and then test those leading indicators. It takes a lot of data science, a lot of data curation, a lot of data integration that many companies are not prepared to shift to as quickly as the current crisis demands.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Ontotext

MARCH 8, 2023

Use Case #7: Data as a Product (and Data Interoperability) Every enterprise data strategy strives to facilitate the flexibility that will allow data to move between current and future systems, minimize limitations of proprietary solutions and avoid vendor lock.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Ontotext

MARCH 23, 2023

At the same time, there are more demands for data to be used in real-time and for businesses to have a better understanding of it. In addition, there is a growing trend of automating data integration and management processes. All this makes it difficult to navigate the enterprise data landscape and stay ahead of the competition.

Management 52

Management Metadata Unstructured Data Data Integration 52

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 91

Optimization B2B Data Quality Sales 91

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52