Dataversity

OCTOBER 4, 2022

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].

Government 237

Government Cybersecurity Agile Data Governance 237

Smart Data Collective

JUNE 29, 2022

Artificial intelligence is also adept at data processing and analytics, both useful tools for financial applications. It can be leveraged even more effectively with Agile technology. Keeping financial data secure is essential to prevent fraud. AI Biometrics for Authentication.

Artificial Intelligence 278

Artificial Intelligence Predictive Analytics Documentation Finance 278

Dataversity

JULY 27, 2023

Efforts to alleviate this – from, say, moving workloads to a cost-effective environment/on-prem or re-architecting to save costs – become difficult, as organizations often find themselves strapped for technical agility.

Agile 228

Agile Cloud Computing Data Architecture Data Security 228

Domo

DECEMBER 11, 2024

Our agility and independence allow us to easily integrate with partners like Databricks and Snowflake , so you can enhance the tools you already have. At the same time, we recognize that you may have some concerns about data security. The great thing about Domo is that you dont have to choose one or the other.

Innovation 97

Innovation Supply Chain Vision Data Security 97

ElegantJ BI

JANUARY 11, 2018

Augmented Data Preparation provides access to crucial data and allows you to connect to various data sources – personal, external, cloud, and IT provisioned You can mash-up and integrate data from disparate data sources and view it in a uniform, interactive display.

Data Governance 130

Data Governance Data Security Government Agile 130

ElegantJ BI

JANUARY 11, 2018

Augmented Data Preparation provides access to crucial data and allows you to connect to various data sources – personal, external, cloud, and IT provisioned You can mash-up and integrate data from disparate data sources and view it in a uniform, interactive display.

Data Governance 130

Data Governance Data Security Government Agile 130

ElegantJ BI

JANUARY 11, 2018

Augmented Data Preparation provides access to crucial data and allows you to connect to various data sources – personal, external, cloud, and IT provisioned You can mash-up and integrate data from disparate data sources and view it in a uniform, interactive display.

Data Governance 130

Data Governance Data Security Government Agile 130

Dataversity

SEPTEMBER 20, 2023

The rapid pace of digital transformation has amplified the demand for efficient and seamless data exchange mechanisms that allow businesses to remain agile, make informed decisions, and maintain a competitive edge.

Digital Transformation 173

Digital Transformation Agile Digital Data Architecture 173

Villanova University

JUNE 1, 2021

An Agile mindset and approach have become more important than ever in government, especially for those in administrative roles. A recent report from the National Academy of Public Administration (NAPA) and the Project Management Institute (PMI) identifies the use of Agile as a potential solution to many of these issues. “In

Government 52

Government Agile IBM Support IBM Maintenance 52

Dataversity

MARCH 25, 2021

Last year’s focus on crisis management and uncertainty due to the global COVID-19 pandemic made long-term thinking difficult, and only the most agile […]. The post 2021 Predictions: Data Protection and Mobility Basics More Important Than Ever appeared first on DATAVERSITY.

Agile 147

Agile Digital Transformation Data Security Digital 147

ElegantJ BI

DECEMBER 15, 2015

Governed Data Discovery goes beyond static business intelligence dashboards to provide agile, comprehensive functionality so that business users can gather, manage and deliver data in an interactive, friendly manner, without compromising data integrity, security or the source chain of data.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

Governed Data Discovery goes beyond static business intelligence dashboards to provide agile, comprehensive functionality so that business users can gather, manage and deliver data in an interactive, friendly manner, without compromising data integrity, security or the source chain of data.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

When there is no Fine Grain Access Rights Management to control access to data. Data Governance vs. Data Anarchy. Your organization can avoid Data Anarchy if you understand the causes and issues surrounding data security and access.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

Villanova University

JUNE 1, 2021

An Agile mindset and approach have become more important than ever in government, especially for those in administrative roles. A recent report from the National Academy of Public Administration (NAPA) and the Project Management Institute (PMI) identifies the use of Agile as a potential solution to many of these issues. “In

Government 45

Government Agile IBM Support IBM Maintenance 45

Astera

JANUARY 29, 2024

These insights touch upon: The growing importance of protecting data. The role of data governance. Resolving data security issues. “Data privacy is becoming more and more important as our data resides with so many companies. The impact of industry regulations. Balancing the benefits and risks of AI.

Government 145

Government Data Warehouse Data Governance Digital 145

Cprime

FEBRUARY 24, 2023

Your strategy should move you closer to creating a silo-free enterprise environment that supports massive data movement and transformation. Adaptable Framework How agile is your data integration? An agile data integration strategy uses a framework that can accommodate new technology without a massive expenditure of resources.

Data Security 98

Data Security Planning Agile Change Management 98

Dataversity

FEBRUARY 1, 2022

This enables more agile business transformation but also affords cyberattackers increased options to mount cyberattacks. Increasingly, organizations are using a hybrid IT landscape of on-premises and cloud infrastructure, and a growing number now use a multi-cloud environment.

Agile 130

Agile Data Architecture Data Security Cybersecurity 130

Cprime

FEBRUARY 11, 2021

The decisions made and solutions adopted by those individuals charged with governing Jira Align will go a long way toward determining if the organization sees a worthy return on its investment in the software and whether it can successfully achieve business agility. Data security and surrounding regulations. Data integrity.

Government 98

Government Portfolio Management Agile Data Security 98

CMW Lab Blog

DECEMBER 27, 2024

The synergy between BPM and remote work is proving vital for organisations aiming to remain agile, efficient, and competitive. Data Security Safeguard business-critical information and ensure compliance with robust security measures.

Logistics 52

Logistics Innovation Data Security Business Process Management 52

BizAcuity

OCTOBER 25, 2019

Some of the key reasons for businesses to move to cloud are mobility, agility, progressive technology, and a need to stay abreast with the industry trends today. Security concerns. One obvious challenge is the fear for data security.

Change Management 154

Change Management Planning Data Security Documentation 154

BizAcuity

APRIL 1, 2023

Issues that come up because of incoherent data strategy and poor data management includes- Latency, poor data quality, risky data security measures, and higher costs KPI Analysis: Organizations that are not effectively tracking their KPIs are at a competitive disadvantage.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Issues that come up because of incoherent data strategy and poor data management includes- Latency, poor data quality, risky data security measures, and higher costs KPI Analysis: Organizations that are not effectively tracking their KPIs are at a competitive disadvantage.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Watermark Learning

MARCH 4, 2025

For instance, a PESTLE analysis might reveal that upcoming government regulations will require stricter data security policiesgiving the company time to prepare instead of scrambling at the last minute. The result? An organization ready for anythingeven that next “unprecedented event” that headlines keep talking about.

Supply Chain 52

Supply Chain E-Commerce Retail Planning 52

Sisense

AUGUST 28, 2020

In larger datasets, where some amount of error is expected, using an error rate and a threshold to provide some fault tolerance will allow you to continue to be agile with your data but be alerted to larger issues. Distinguishing between data integrity and security.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

BizAcuity

OCTOBER 25, 2019

Some of the key reasons for businesses to move to cloud are mobility, agility, progressive technology, and a need to stay abreast with the industry trends today. Security concerns. One obvious challenge is the fear for data security.

Change Management 133

Change Management Planning Data Security Documentation 133

Bintelligence

JUNE 7, 2022

Pensando Systems ResultsCX SAM Seamless Network Organizational Excellence BHG Financial Information Security Team BlueVoyant Defendify Digital Silence PURE Insurance ResultsCX Darktrace StrikeReady Cognitive Security Platform Threat Detection Anura Deepwatch GreyNoise Intelligence NETSCOUT Perception Point Threat Modeling ThreatModeler Training CYRIN (..)

Supply Chain 76

Supply Chain Business Intelligence Business Intelligence Data Security 76

Domo

JULY 23, 2024

Breaking down data silos: the CIO’s dilemma Enterprise data is often stuck in silos—scattered across business systems, SaaS applications, and data warehouses. This fragmentation creates “BI breadlines,” where data requests pile up and slow down progress. Maximize investments : Get the most out of your CDW investments.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Astera

DECEMBER 16, 2024

90% Faster Data Preparation: Speed up data preparation by 90% for agile data pipelines so you can convert data into insights in real-time. The solution also has a responsive support team and it also ensures compliance with data security standards, which is why its one of the reliable alternatives to Hevo Data.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Marutitech

NOVEMBER 13, 2020

Low-code platforms typically use drag-and-drop features, automatic code generation, business process maps, and other visual tools to deliver an agile development environment without requiring the time or complexity of traditional coding methods. Robust data security and synchronization. Enhanced Productivity. ProcessMaker.

Visualization 98

Visualization User Experience Documentation Agile 98

BizAcuity

OCTOBER 25, 2019

Some of the key reasons for businesses to move to the cloud are mobility, agility, progressive technology, and a need to stay abreast of the industry trends today. Security concerns. One obvious challenge is the fear of data security.

Change Management 100

Change Management Planning Data Security Documentation 100

BizAcuity

OCTOBER 25, 2019

Some of the key reasons for businesses to move to cloud are mobility, agility, progressive technology, and a need to stay abreast with the industry trends today. Security concerns. One obvious challenge is the fear for data security.

Change Management 100

Change Management Planning Data Security Documentation 100

Cprime

MARCH 7, 2024

The same sort of hesitance kept many banks and investment firms from embracing Agile development techniques in years past, while their competitors pivoted and gained market share as a result.) Security and compliance risks While generative AI holds much promise, it also raises legitimate concerns about data security, privacy, and governance.

Banking 52

Banking Government Agile Big Data 52

Astera

APRIL 3, 2023

Did you know that the amount of data generated worldwide is predicted to reach a staggering 180 zettabytes by 2025? While this wealth of data can help uncover valuable insights and trends that help businesses make better decisions and become more agile, it can also be a problem.

IBM Maintenance 52

IBM Maintenance IBM cost Data Security IBM Support 52

Cprime

JANUARY 23, 2024

The adoption of generative AI marks a significant shift from traditional technological applications, offering unprecedented opportunities for business modernization, innovation, and agile operations. Data Security and Privacy Concerns Data security and privacy are critical concerns in generative AI deployment.

Cybersecurity 52

Cybersecurity Healthcare Government Data Security 52

Sisense

MARCH 18, 2019

Added to that, each customer also has slight variations in their data model (variations coming from their single-tenant database) that had to be incorporated into the solution. Sisense is truly unique in that the data layer is decoupled from the visualizations. Scalability and Monitoring.

Embedded Analytics 71

Embedded Analytics Data Modelling Monitoring Logistics 71