Sisense

APRIL 22, 2021

The full webinar is available on-demand and contains even more tips, implementation guidance, and future plans for AI from these companies. A poll during the event showed that 19% of facility management attendees were thinking about analytics, 38% were just getting started or in planning phases, and 19% had implemented analytics already.

Data Warehouse 52

Data Warehouse Real-time Data Planning Data Security 52

Astera

AUGUST 3, 2023

In recent years, EDI’s evolution has been propelled by the advent of advanced technologies like artificial intelligence, cloud computing, and blockchain, as well as changing business requirements, including real-time data access, enhanced security, and improved operational efficiency. billion in 2023 to $4.52

Innovation 52

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Astera

NOVEMBER 13, 2023

Lambda Architecture: The Lambda Architecture aims to provide a robust and fault-tolerant solution for processing both batch and real-time data in a scalable way. The architecture is divided into different layers including: Batch Layer: This layer is responsible for handling historical or batch data processing.

Data Warehouse 52

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Astera

DECEMBER 16, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

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Astera

DECEMBER 16, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

SEPTEMBER 20, 2023

Integrating data can be a challenge, especially if you deal with multiple data sources. Each source may have its own format, structure, and quality standards, making it essential to establish a robust data integration strategy. Modern organizations use advanced data extraction tools to access and retrieve relevant information.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Integrating data can be a challenge, especially if you deal with multiple data sources. Each source may have its own format, structure, and quality standards, making it essential to establish a robust data integration strategy. Modern organizations use advanced data extraction tools to access and retrieve relevant information.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

NOVEMBER 1, 2023

Data warehouses employ a process called Extract, Transform, Load (ETL) , whereby data is extracted from different operational systems, such as customer relationship management (CRM) platforms, enterprise resource planning (ERP) systems and more and then it undergoes a transformation process to ensure consistency and compatibility.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Business Analysis Knowledge Share

OCTOBER 27, 2023

The Significance of Business Intelligence Business Intelligence is a multifaceted discipline that encompasses the tools, technologies, and processes for collecting, storing, and analyzing data to support informed decision-making. Benefits: Reduced stockouts, optimized inventory levels, and improved revenue planning.

Business Intelligence 52

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Astera

SEPTEMBER 4, 2023

These tools make this process far easier and manageable even for those with limited technical expertise, as most tools are now code-free and come with a user-friendly interface. Help Implement Disaster Recovery Plans: Data loss due to unexpected events like natural disasters or human error can be catastrophic for a business.

IBM Maintenance 52

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Astera

NOVEMBER 28, 2023

They ensure compliance with regulations like the European Union’s General Data Protection Regulation (GDPR), safeguarding data and building trust with policyholders. How To Build a Robust Data Pipeline Building a data pipeline is a multi-step process that requires careful planning and execution.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

AUGUST 8, 2023

You can visualize and explore data intuitively for accuracy and consistency. Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JANUARY 2, 2024

Improved Data Security The repercussions of data loss and cyber threats keep organizations on their toes. This is where data management plays a vital role in protecting sensitive information. However, many companies experience trouble in the identification of critical data elements.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MAY 13, 2024

Over time, this edge allows you to adapt and respond to changing market patterns more effectively than others. Data Aggregation Types and Techniques There are various types of data aggregation. Your requirements and how you plan to use the data will determine which approach suits your use case.

Supply Chain 52

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Astera

SEPTEMBER 20, 2024

This approach significantly reduces upfront capital expenses and allows for better financial planning and budget allocation, as costs are more predictable and tied directly to usage. This allows for extremely fast data access and processing, as accessing data from RAM is significantly quicker than from disk. GDPR, HIPAA).

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

AUGUST 5, 2024

Predictive analytics, for example, enables businesses to anticipate trends and risks, enabling proactive decision-making and strategic planning. Using historical data and statistical modeling techniques allows companies to forecast demand, identify emerging opportunities, and mitigate potential threats ahead of time.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Insight Software

FEBRUARY 6, 2024

Embeddable What-If Scenario Analysis Give users additional interactive predictive control to take data to a new level–from simple visualization to actionable planning and insights. Empower your business users with the ability to perform planning and strategy execution directly on a dashboard.

Embedded Analytics 52

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GAVS Technology

JUNE 24, 2024

They offer real-time data that enhances patient monitoring, allows for early detection of potential health issues, and supports chronic disease management. The regulations focus on accuracy, data security, and patient safety.

Healthcare 52

Healthcare Cybersecurity Artificial Intelligence Monitoring 52

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. For a beginner, it’s a lot in one place.

Digital 305

Digital Business Intelligence Business Intelligence Monitoring 305

Data Pine

OCTOBER 21, 2020

Summing up the product of all this work, the data science team developed a web-based user interface that forecasts patient loads and helps in planning resource allocation by utilizing online data visualization that reaches the goal of improving the overall patients’ care. 2) Electronic Health Records (EHRs).

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CMW Lab Blog

NOVEMBER 22, 2024

Key Emerging Trends IoT and BPA Integration IoT is reshaping BPA by providing real-time data to optimize decision-making. Businesses benefit from: Real-Time Monitoring: Instantly adjust operations for optimal performance. Manufacturing Smart Factories: Real-time process monitoring and automation.

Supply Chain 52

Supply Chain Logistics Cybersecurity Monitoring 52

Astera

APRIL 24, 2024

Data aggregation tools allow businesses to harness the power of their collective data, often siloed across different systems and formats. By aggregating data, these tools provide a unified view crucial for informed decision-making, trend analysis, and strategic planning. Who Uses Data Aggregation Tools?

IBM Support 52

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GAVS Technology

FEBRUARY 17, 2025

Agentic AI with RAG combines the generative power of LLMs with real-time data retrieval, allowing AI systems to access up-to-date information from external sources. Data Retrieval: The system queries relevant, real-time data sources. Overview: What Is Agentic AI with RAG?

Healthcare 52

Healthcare Real-time Data Artificial Intelligence Documentation 52

CMW Lab Blog

MARCH 21, 2025

is critical to future planning. It directly addresses the inherent difficulties of distributed work: Breaking Down Barriers to Communication: Keeping everyone updated remotely for changes, sharing documents, and sending notifications becomes easier irrespective of location or time zone.

Project Management 52

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Insight Software

NOVEMBER 14, 2023

This is compounded when transactions are spread across multitudes of tables and when drilldowns to transactional data are slow and manual. Users need to go in and out of individual reports to get specific data they are looking for. Wands for Oracle also has a 94% customer retention rate and high levels of customer satisfaction.

Real-time Data 52

Real-time Data IBM Maintenance IBM Support Finance 52

Insight Software

NOVEMBER 4, 2024

By hosting Logi Symphony on Google’s cloud, your users gain fast, reliable access to real-time data, backed by Google’s unmatched security and consistent performance, ensuring seamless, secure interactions with critical insights.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Analysts Corner

NOVEMBER 18, 2024

This means not only do we analyze existing data, but we can also create synthetic datasets. Imagine needing to train a model but lacking sufficient data? Data security and potential pitfalls like data poisoning should be priorities for anyone working in analytics. Generative AI can fill that gap.

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Data Analytics Data Analytics Visualization Healthcare 130

Insight Software

AUGUST 20, 2024

Experience the power of automated processes and real-time data access. Jet Reports allows you to stop wasting time on manual processes. The tool empowers you to streamline reporting, automate tasks, and gain the insights needed for timely decisions.

IBM Support 52

IBM Support IBM Maintenance Finance IBM cost 52

Insight Software

OCTOBER 18, 2024

How Embedded Dashboards Work Embedded Dashboards work by embedding data visualizations and analytics tools into existing applications or systems. They’re usually powered by an underlying analytics platform and connected through APIs, allowing the dashboard to pull real-time data directly from various data sources.

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IBM Support Embedded Analytics IBM Maintenance IBM Expert 40

Insight Software

AUGUST 24, 2023

Overall, nearly two-thirds of senior executives stated their businesses have accelerated their plans to migrate to the cloud. Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud.

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Insight Software

JANUARY 11, 2024

In-House Software Solution: Provides control, customization, and enhanced data security, ideal for adaptable processes and long-term cost efficiency. Align reporting with real-time data, ensuring that ESMA filings reflect the most precise and current financial status of the company.

IBM Support 52

IBM Support IBM Maintenance IBM cost Finance 52

Insight Software

JANUARY 19, 2024

Data Security : Again in 2023, we saw that ensuring data security in embedded analytics is crucial to protecting sensitive information and maintaining the trust of users. Secure data transmissions and authentication mechanisms both played key roles in the security real for embedded analytics.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance User Experience 52

Insight Software

NOVEMBER 7, 2023

Over the last 12 months, as we emerged from the pandemic, CFOs approached the finance function with a sense of realism and pragmatism, prioritizing functional growth in their budgets and plans over resource growth.

IBM cost 52

IBM cost IBM Maintenance Finance IBM Support 52

Insight Software

MARCH 4, 2024

The cloud migration wave presents both opportunities and complexities, demanding seamless data movement between SAP and cloud-based applications. Additionally, the growing appetite for real-time data insights necessitates breaking down data silos and achieving seamless integration with diverse sources.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Automation 52

Insight Software

SEPTEMBER 22, 2023

Logi Symphony and ChatGPT Will Change the Way you Interact with Data The integration of ChatGPT into Logi Symphony opens a world of possibilities for data-driven decision-making and analysis. By leveraging the power of AI and data integration, you can gain deeper insights into your data and make more informed decisions.

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