Smart Data Collective

JUNE 18, 2021

Since this type of advanced technology is at the cutting edge of industrial innovation, many large companies invest heavily in artificial intelligence and machine learning research. Data management is driven by machine learning. Here are five ways machine learning is changing business operations.

Artificial Intelligence 335

Artificial Intelligence Master Data Management Data Management Innovation 335

The Data Administration Newsletter

MARCH 6, 2024

In the digital era, navigating the choppy waters of data governance poses a significant challenge for enterprises. On one end of the spectrum, a rigid command-and-control approach stifles innovation and agility, turning data management into a bottleneck rather than a boon.

Data Governance 59

Data Governance Government Innovation Agile 59

Insight Software

JULY 19, 2023

Our Logi customers share their feedback, wants, needs, and desires through our innovations portal. Δ The post Partners in Innovation: Voice of the Customer Enhancements to Logi Symphony appeared first on insightsoftware. Here’s how it works. Cookies are required to submit forms on this website. Enable cookies.

Innovation 52

Innovation Embedded Analytics IBM Support IBM Maintenance 52

Domo

JUNE 10, 2021

Ask people who lead modern organizations what data agility means to them and you’re likely to get a variety of answers. But while there are differences of opinion on the exact definition of data agility, there’s no question that it enables businesses to respond to change more easily, and with speed and confidence.

Agile 69

Agile Innovation Business Intelligence Business Intelligence 69

Smart Data Collective

OCTOBER 25, 2023

Relational databases emerged in the 1970s, enabling more advanced data management. In the 1990s, OLAP tools allowed multidimensional data analysis. The past decade integrated advanced analytics, data visualization, and AI into BI, offering deeper insights and trend predictions. In a fast-paced, data-rich world.

Digital 236

Digital Business Intelligence Business Intelligence Monitoring 236

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

Insight Software

JANUARY 24, 2024

In addition, external market factors require that your planning process not only be able to address your current goals but also be agile enough to quickly respond to industry innovations, economic shifts, and more. Often, the time-consuming nature of traditional planning processes precludes the adoption of agile planning practices.

Planning 52

Planning IBM Maintenance Agile IBM Support 52

Cprime

FEBRUARY 8, 2024

– AI Upskilling is crucial for keeping pace with the rapid advancements in AI technology, ensuring that the software development teams can manage and optimize AI tools for improved efficiency and innovation. It’s an era where embracing innovation and agile methodologies is key to minimizing risks and maximizing ROI.

Innovation 102

Innovation Healthcare Digital Data Management 102

BizAcuity

MAY 10, 2022

History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. They now have a disruptive data management solution to offer to its client base.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Astera

JANUARY 12, 2024

Data Vault vs Data Mesh: A Comparison Let’s compare the two approaches to uncover the differences and similarities between them for improved understanding: Differences: Infrastructure Data Vault typically relies on a centralized infrastructure, often involving a data warehouse or similar centralized storage system.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Marutitech

OCTOBER 19, 2021

Scaling Agile is the buzzword taking the software industry by storm and gaining popularity in other sectors like manufacturing, eCommerce, and retail. Agile software development has been around for the past 20 years. It is compared to only 29% of organizations with lower agility reports. What does “Scaling Agile” mean?

Agile 52

Agile Planning Innovation Project Management 52

Astera

JANUARY 29, 2024

Grasso’s insights are especially pertinent as we delve deeper into an era where AI’s capabilities are not just luxuries but necessities for staying competitive and innovative. “Enterprise data privacy is a critical and complex issue – especially in the current AI-driven business era.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

Cprime

JANUARY 4, 2024

– Atlassian’s cloud-first strategy ensures that enterprises have immediate access to the latest features and innovations, driving efficiency and collaboration. These features are designed to streamline operations, foster innovation, and give enterprises a competitive advantage. Take the next step!

Vision 52

Vision Innovation Planning Artificial Intelligence 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What’s New in Data Vault 2.0?

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. To ensure minimum latency, efficient data management is key.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. To ensure minimum latency, efficient data management is key.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Smart Data Collective

JULY 20, 2021

This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes. It is one of the powerful big data integration tools which marketing professionals use. This next-generation integration platform offers the scalability and agility required by businesses.

Big Data 352

Big Data Documentation Logistics Data Warehouse 352

Astera

AUGUST 2, 2023

Electronic Data Interchange (EDI) emerged in the late 1960s as a game-changing innovation. It offered an organized method for electronic data exchange between various organizations, thus beginning a revolution in business communication. EDI also introduced a common language for different business systems to understand.

Digital Transformation 52

Digital Transformation Digital E-Commerce Supply Chain 52

Tableau

AUGUST 1, 2022

As they struggle to manage and get value from it, they seek guidance. . How to Win in Today's Data Economy, Snowflake Inc., They leverage the critical insights gleaned from data to address key business challenges and goals. . Learn more about Tableau’s history of innovation with Snowflake. Migrate to the cloud .

E-Commerce 97

E-Commerce Digital Transformation Agile Innovation 97

Tableau

AUGUST 1, 2022

As they struggle to manage and get value from it, they seek guidance. . How to Win in Today's Data Economy, Snowflake Inc., They leverage the critical insights gleaned from data to address key business challenges and goals. . Learn more about Tableau’s history of innovation with Snowflake. Migrate to the cloud .

E-Commerce 91

E-Commerce Digital Transformation Agile Innovation 91

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

Data Warehouse 95

Data Warehouse Government Artificial Intelligence Data Discovery 95

Smart Data Collective

JANUARY 11, 2021

Cloud computing is also helping manufacturing companies to reduce costs, innovate, and increase their competitiveness. But if you are concerned that the cloud does not provide the same IP protection as on-site data management, the truth is the cloud can often be less risky than using your existing setup.

Supply Chain 249

Supply Chain Cloud Computing Pharmaceutical Big Data 249

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

Data Warehouse 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

The BAWorld

MARCH 13, 2024

User stories empower Agile development teams to collaborate and communicate effectively. It ensures data consistency, accessibility, and integrity, facilitating efficient data storage, retrieval, and analysis. Stakeholders leverage them to specify acceptance criteria , prioritize features, and iteratively track progress.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Tableau

JUNE 13, 2022

This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software.

Chief Data Officer 78

Chief Data Officer Government Data Discovery Data Architecture 78

Cprime

JANUARY 23, 2024

How does generative AI influence data management in enterprises? – Generative AI enables enterprises to process unstructured data, unlocking new business value and sparking advances across organizational functions. What is the adoption rate of generative AI in enterprises as of 2023?

Healthcare 52

Healthcare Cybersecurity Government Data Security 52

Tableau

JUNE 13, 2022

This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. . Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software.

Chief Data Officer 72

Chief Data Officer Government Data Discovery Data Architecture 72

Astera

APRIL 10, 2023

In particular, the adoption of AI-powered document data extraction is driving a paradigm shift in the world of supply chain management, enabling companies to achieve unprecedented levels of efficiency and cost savings. This approach saves time and effort and enables a more efficient extraction process.

Supply Chain 52

Supply Chain Documentation Logistics Procurement 52

Astera

APRIL 10, 2023

In particular, the adoption of AI-powered document data extraction is driving a paradigm shift in the world of supply chain management, enabling companies to achieve unprecedented levels of efficiency and cost savings. This approach saves time and effort and enables a more efficient extraction process.

Supply Chain 52

Supply Chain Documentation Logistics Procurement 52

Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs. This empowers them to generate reports on demand and reduce their reliance on IT or data teams.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. It ultimately improves organizational agility and resilience. “By

Cloud Computing 98

Cloud Computing Government Supply Chain Data Governance 98

Timo Elliott

JANUARY 22, 2019

These data-driven, self-learning business processes improve automatically over time and as people use them. Cloud brings agility and faster innovation to analytics. As business applications move to the cloud, and external data becomes more important, cloud analytics becomes a natural part of enterprise architectures.

Data Discovery 223

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 223

Bintelligence

DECEMBER 7, 2021

Keegan, CEO, Merchant's Fleet Antti Nivala, Founder and CEO, M-Files Lev Peker, Director and CEO, CarParts.com Tony Safoian, President and CEO, SADA Systems Raj Sundaresan, CEO, Altimetrik Matt Walmsley, Chief International Officer, Strategy, SurveyHealthcareGlobus Small Business Executive of the Year Matt Hankey, President and CEO, New Energy Equity (..)

IBM Maintenance 81

IBM Maintenance IBM Support Business Intelligence Business Intelligence 81

Tableau

AUGUST 1, 2022

As they struggle to manage and get value from it, they seek guidance. . How to Win in Today's Data Economy, Snowflake Inc., They leverage the critical insights gleaned from data to address key business challenges and goals. . Learn more about Tableau’s history of innovation with Snowflake. Migrate to the cloud .

E-Commerce 52

E-Commerce Digital Transformation Agile Innovation 52

Cprime

FEBRUARY 24, 2023

How to Set Long-term Goals for a Data Integration Strategy Within an Organization Having a long-term view is an essential part of choosing the right enterprise data integration option. Your strategy should move you closer to creating a silo-free enterprise environment that supports massive data movement and transformation.

Data Security 98

Data Security Planning Agile Change Management 98

Astera

APRIL 3, 2023

Scalability and Flexibility As insurance companies grow, the volume of data they must manage for compliance purposes increases exponentially. Additionally, regulatory requirements may change over time, necessitating adjustments to data management processes.

Documentation 52

Documentation Digital Transformation Data Management Data Security 52

Astera

JULY 10, 2023

The advanced AI-powered data extraction tool leverages deep learning models to auto-generate templates and quickly scan, analyze, and extract relevant data from shipping documents with remarkable accuracy and efficiency. The tool can also be customized to accommodate evolving business needs, ensuring long-term scalability and adaptability.

Supply Chain 40

Supply Chain Documentation Innovation Finance 40