Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. This is also true that decentralized data management is not new.

Data Management 166

Data Management Government Data Warehouse Big Data 166

Tableau

APRIL 12, 2021

Product Manager, Tableau Prep. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kristin Adderson.

Data Quality 102

Data Quality Monitoring Data Discovery Data Management 102

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. Unscalable data architecture.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Data Pine

JUNE 9, 2022

1) What Is A Monitoring Dashboard? 2) Why Do You Need Monitoring Dashboards? 3) Tips For Monitoring Dashboard Design. 4) Monitoring Dashboard Templates. Data monitoring has been changing the business landscape for years now. Enter monitoring dashboards. What Is A Monitoring Dashboard?

Monitoring 57

Monitoring Real-time Data Visualization Data Visualization 57

Smart Data Collective

AUGUST 14, 2022

Once DLP identifies a violation, it initiates remediation protocols through alerts and encryption, thus preventing any end-user from accidentally sharing valuable data or falling victim to a successful malicious attack. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

Monitoring 309

Monitoring Cybersecurity Planning Data Management 309

Tableau

OCTOBER 14, 2021

Typically, enterprises face governance challenges like these: Disconnected data silos and legacy tools make it hard for people to find and securely access the data they need for making decisions quickly and confidently. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

Government 93

Government Data Management Data Governance Cybersecurity 93

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Try it Now!

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Tableau

APRIL 12, 2021

Product Manager, Tableau Catalog. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kristin Adderson.

Data Quality 52

Data Quality Monitoring Data Discovery Data Management 52

Astera

JANUARY 23, 2023

Billion by 2026 , showing the crucial role of health data management in the industry. Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

Data Management 98

Data Management Data Architecture Data Governance Government 98

Smart Data Collective

SEPTEMBER 19, 2023

In this safeguard, strong audit and accountability techniques are established to monitor and keep track of the activities and events related to security. Constant Monitoring The NIST 800-171 special publication requires that these networks conduct continuous monitoring to ascertain the safety of CUI.

Cybersecurity 268

Cybersecurity Monitoring Data Security Government 268

Tableau

OCTOBER 14, 2021

Typically, enterprises face governance challenges like these: Disconnected data silos and legacy tools make it hard for people to find and securely access the data they need for making decisions quickly and confidently. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

Government 71

Government Data Management Data Governance Cybersecurity 71

Smart Data Collective

AUGUST 3, 2023

Blockchain has several applications in almost every industry, including fleet management. Sophisticated fleet management software improves organization and monitoring, but blockchain improves payment methods, transparency, effectiveness, precision, and income. Enables the monitoring of a vehicle’s past performance.

Supply Chain 212

Supply Chain Logistics Monitoring Customer Experience 212

Smart Data Collective

SEPTEMBER 13, 2023

Your Location A lot of IoT devices request and remember your location data — including fitness trackers, security systems, smartphones, health monitors, and even smart thermostats. Wearable health monitors can tell them when your next medical appointment is. They might even use baby monitors to communicate with children.

Monitoring 232

Monitoring Healthcare Banking Data Management 232

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. Let’s break it down for you.

Digital 237

Digital Business Intelligence Business Intelligence Monitoring 237

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 52

Data Governance Government Data Management Data Security 52

Astera

MAY 5, 2023

AI-powered data backup and disaster recovery Financial institutions can leverage AI to automatically back up critical data in real-time and quickly recover from disasters such as cyber-attacks, natural disasters, and human error.

Innovation 40

Innovation Data Management Artificial Intelligence Big Data 40

Tableau

AUGUST 24, 2021

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. we’re excited to bring you new data management capabilities to make working with data more efficient. In Tableau 2021.3, Tableau Prep.

Data Management 102

Data Management Data Quality Government Monitoring 102

Astera

JULY 12, 2023

Compliance Monitoring and Risk Mitigation: Automated contract data extraction tools powered by AI can assist in monitoring compliance and mitigating risks. This enables accurate data extraction, even from non-standard contract formats, resulting in a more versatile and comprehensive solution.

Data Management 40

Data Management Documentation Data Quality Monitoring 40

Tableau

AUGUST 24, 2021

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. we’re excited to bring you new data management capabilities to make working with data more efficient. In Tableau 2021.3, Tableau Prep.

Data Management 98

Data Management Data Quality Government Monitoring 98

Smart Data Collective

OCTOBER 5, 2021

You have to make sure that your data is going to be secure from breaches and preserved from potential data outages. You can keep reading to learn more about how to manage a data server. This is going to be vital for your data management strategy. Monitor your drivers. Documentation. Inventory control.

Big Data 272

Big Data Monitoring Data Management Planning 272

Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Smart Data Collective

JULY 27, 2022

Whichever method you choose, make a schedule to back up your data regularly. If something happens to your computer or software, you will still have a copy of all your files through a regular data backup. Monitoring Activity. Monitoring activity is vital for the data security of the application for numerous reasons.

Data Security 282

Data Security Monitoring Documentation Data Management 282

Smart Data Collective

AUGUST 22, 2021

Monitor your online identity. The nuanced truth is that big data is both a risk and an asset in the fight against identity theft. Although big data makes it easier for hackers to find your online identity, you can also use data analytics tools to identify these risks and take appropriate safeguards. Click this link.

Big Data 341

Big Data Monitoring Digital Data Analytics 341

Smart Data Collective

AUGUST 15, 2022

Through the combination of AI and machine learning that gathers and analyzes behavioral, historical, and social data, brands can now better understand their customers. Unlike traditional data management, AI continuously learns and improves using the data it analyzes to anticipate customer behavior. Improved Marketing.

Cybersecurity 244

Cybersecurity Artificial Intelligence Customer Experience Customer Experience 244

Smart Data Collective

APRIL 20, 2022

Since everyone is tired of hearing about breaches and data leaks, all your employees and clients want to know is if their data is safe and whether they should share it with your company. To protect their data and monitor the information that is coming into and going out of their systems, companies have been using Secure Web Gateway.

Cybersecurity 263

Cybersecurity Monitoring Data Security Government 263

Smart Data Collective

JUNE 15, 2021

Data analytics technology has helped with this by aiding with employee monitoring. Data analytics tools for employee monitoring have made this a lot easier. Data analytics helps with all of these goals. Cloud-based data management. Cloud technology makes data more accessible for remote workers.

Big Data 219

Big Data Monitoring Data Analytics Data Analytics 219

Astera

MARCH 19, 2024

Implementing security measures to protect data from unauthorized access, breaches, or misuse is crucial for maintaining confidentiality and compliance with regulations. Data Governance Vs. Data Management What’s the difference between data governance and data management?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Smart Data Collective

SEPTEMBER 13, 2021

Successful investors find suitable assets like post pandemic dividends and monitor their stocks. Investors do not just use big data to collect information about potential challenges, industry trends, or assets. They mostly put the individual insights together to create a successful data management strategy. Conclusion.

Big Data 269

Big Data Monitoring Digital Transformation Predictive Analytics 269

Smart Data Collective

MARCH 8, 2021

The proper data analysis provides fleet managers with an opportunity to monitor the total fuel costs and see the weak points. Data also helps in identifying improper routing that usually leads to excessive fuel consumption. Statistics reveal that companies relying on data management reduce total miles driven by 10%.

Big Data 357

Big Data Predictive Analytics Logistics Planning 357

Smart Data Collective

AUGUST 18, 2021

It is chock-full of life cycle automation features — from commencement to data management, accounting and reporting, and end-term supervision. It also helps you maintain compliance by integrating accounting standards and corporate policies into the system and centralized asset-level data. Image source: softwareconnect.com.

Big Data 302

Big Data Artificial Intelligence Portfolio Management Visualization 302

Astera

APRIL 19, 2024

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition.

Data Governance 52

Data Governance Data Quality Government Monitoring 52

Smart Data Collective

MAY 17, 2023

In addition, IAM helps organizations prevent unauthorized access, protect sensitive information, and manage user identities efficiently to strengthen security capabilities and management. The monitoring features of Office 365 will allow you to track user actions, detect suspicious activity, and identify potential security incidents.

Monitoring 220

Monitoring Digital Data Security Documentation 220

Astera

APRIL 18, 2024

Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations. The Dual Imperative: Upholding Data Quality and Governance Data quality and governance are essential data management components, particularly in the insurance industry.

Data Quality 52

Data Quality Government Data Governance Data Security 52