Dataversity

AUGUST 27, 2024

For startups, transitioning to the cloud from on-prem is more than a technical upgrade – it’s a strategic pivot toward greater agility, innovation, and market responsiveness. Streamlining […] The post Cloud Transition for Startups: Overcoming Data Management Challenges and Best Practices appeared first on DATAVERSITY.

Data Management 130

Data Management Cloud Computing Innovation Agile 130

Smart Data Collective

SEPTEMBER 22, 2021

Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. Once businesses can see “inside” their unstructured data, there’s a lot to explore.

Pharmaceutical 338

Pharmaceutical Healthcare Documentation Retail 338

Smart Data Collective

OCTOBER 20, 2020

Sure enough, there’s more to big data than just having the right tools for handling them. Companies have found many innovative ways to use big data to strengthen their business models. Uber uses big data to develop machine learning algorithms to forecast demand. Adopt Automation.

Big Data 326

Big Data Digital Transformation Data Analytics Data Analytics 326

Smart Data Collective

JANUARY 9, 2023

The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis. Here is a strategic approach to maximize your data’s value.

Artificial Intelligence 363

Artificial Intelligence Innovation Business Intelligence Business Intelligence 363

Insight Software

JANUARY 20, 2021

That process, broadly speaking, is called data management. As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Worse yet, poor data management can lead managers to make decisions based on faulty assumptions.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

The Data Administration Newsletter

DECEMBER 14, 2021

The Data Ethics Conundrum The recent DAMA EMEA conference was a valiant effort to connect the DAMA membership in the EMEA region through an innovative virtual conference format. One of these polls asked, “Are Data Ethics Principles Universal?” During the conference, various polls were run.

Data Quality 90

Data Quality Innovation Data Governance Government 90

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 240

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 240

Tableau

AUGUST 24, 2021

Upgrade now to take advantage of these new innovations and bring the full power of the Tableau Platform across your business. release: Get Tableau notifications directly in Slack for data-driven alerts, @mentions in comments, and sharing activity to stay on top of your data, from anywhere. The newest release of Tableau is here!

Data Management 105

Data Management Data Quality Government Monitoring 105

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Tableau

AUGUST 24, 2021

Upgrade now to take advantage of these new innovations and bring the full power of the Tableau Platform across your business. release: Get Tableau notifications directly in Slack for data-driven alerts, @mentions in comments, and sharing activity to stay on top of your data, from anywhere. The newest release of Tableau is here!

Data Management 98

Data Management Data Quality Government Monitoring 98

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

CMW Lab Blog

DECEMBER 27, 2024

Overcoming Challenges in AI Adoption Adopting AI has immense potential, but businesses may encounter roadblocks such as data quality issues, skill gaps, and integration with legacy systems. Here’s how to address these challenges: Quality Data Management : Use centralized data lakes to ensure high-quality, accessible data.

Monitoring 52

Monitoring Business Process Management Predictive Analytics Documentation 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 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. This is where business intelligence consulting comes into the picture.

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. This is where business intelligence consulting comes into the picture.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

The Data Administration Newsletter

MAY 1, 2024

GenAI has brought hope and promise for those who have the creativity and innovation to dream big, and many have formulated impressive and pioneering […]

Data Quality 52

Data Quality Innovation Data Governance Artificial Intelligence 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Quality Government 52

GAVS Technology

NOVEMBER 8, 2024

It is also important to understand the critical role of data in driving advancements in AI technologies. While technology innovations like AI evolve and become compelling across industries, effective data governance remains foundational for the successful deployment and integration into operational frameworks.

Supply Chain 40

Supply Chain Data Governance Cybersecurity Government 40

Domo

MAY 26, 2021

But the consensus among those I’ve talked to who are responsible for data management strategies at industry-leading enterprises is that the first step should involve one of the following: Data quality. What’s the first step? There’s no exact answer. And how can I best facilitate those needs?” Then, go from there.

Data Governance 97

Data Governance Government Data Quality Innovation 97

Domo

NOVEMBER 9, 2023

Regardless, innovation is alive and well in Asia-Pacific, and we continue to challenge Domo’s product capabilities! Data matters. AI also shone a harsh light on data quality, revealing biases and gaps in Australian data sources—ones that were previously hidden by existing analytical regimes. AI rules.

Data Quality 119

Data Quality Government Innovation Data Management 119

Astera

JANUARY 23, 2023

The healthcare industry has evolved tremendously over the past few decades — with technological innovations facilitating its development. Billion by 2026 , showing the crucial role of health data management in the industry. What is Health Data Management ? The global digital health market is expected to reach $456.9

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

The Data Administration Newsletter

APRIL 19, 2022

Data driven organizations are innovating faster than ever.

Data Management 59

Data Management Innovation Data Quality Data Architecture 59

Dataversity

FEBRUARY 11, 2022

As organizations enter a new year, leaders across industries are increasingly collecting more data to drive innovative growth strategies. Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions.

Innovation 130

Innovation Data Quality Data Governance Government 130

Tableau

FEBRUARY 17, 2021

Upgrade to take advantage of these new innovations, and learn more about how Tableau brings AI into analytics to help users across your organization answer pressing questions. Better manage your data with Tableau Catalog improvements. The newest release of Tableau is here! Tableau 2021.1

Data Quality 102

Data Quality Visualization Innovation Data Management 102

Dataversity

JANUARY 5, 2022

Disruption has been on an ongoing progressive cycle since the beginning of the digital era – but when the pandemic began in 2020, innovations began to progress at a record pace.

Innovation 130

Innovation Data Analytics Data Analytics Digital 130

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 40

Data Governance Government Data Management Data Security 40

Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Astera

APRIL 4, 2024

Data governance’s primary purpose is to ensure organizational data assets’ quality, integrity, security, and effective use. The key objectives of Data Governance include: Enhancing Clear Ownership: Assigning roles to ensure accountability and effective management of data assets.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

The Data Administration Newsletter

MARCH 14, 2023

As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing counter. We’ve long had to contend with the balance of how to best use data throughout its lifecycle and build processes. The more recent innovation? The ability to rapidly pivot, experiment, and learn.

Innovation 97

Innovation Data Quality Data Governance Data Architecture 97

Astera

JUNE 6, 2024

Data governance is the framework of policies, procedures, and roles responsible for ensuring data quality, security, and compliance within an organization. With proper data governance, organizations can use their data to make informed decisions and minimize non-compliance risks.

Data Governance 40

Data Governance Government Data Quality Innovation 40

Astera

AUGUST 29, 2024

In fact, a recent study by McKinsey & Company revealed that 80% of companies undertake M&A to drive growth and innovation. Data Integration in M&A is a complex process involving merging different business functions, as it consists of aligning diverse cultures, systems, and processes across two organizations.

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It involves a series of steps to upgrade data, tools, and infrastructure.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Astera

AUGUST 12, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for financial data integration project, especially detecting fraud.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

SEPTEMBER 4, 2024

This helps your teams retrieve, understand, manage, and utilize their data assets and stack (spread across domains as data microservices), empowering them to steer data-driven initiatives and innovation. In other words, data mesh lets your teams treat data as a product. What is Data Fabric?

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

MAY 9, 2023

Role of a Data Steward Data stewards are gatekeepers of enterprise data, ensuring that the data is of the highest quality and used effectively. Their responsibilities include: Creating & managing metadata for their data sets. Establishing data quality standards.

Data Security 52

Data Security Data Management Government Innovation 52

Business Analysis Knowledge Share

MARCH 15, 2023

These databases are often used in big data applications, where traditional relational databases may not be able to handle the scale and complexity of the data. As data continues to play an increasingly important role in business decision-making, the importance of effective database management will only continue to grow.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52