Enterprise search is the practice of making content from various sources, such as databases and intranets, searchable for a specific audience.
Enterprise search refers to the description of an information retrieval software within an organization. It can be contrasted with web search, which applies search technology to documents on the open web, and desktop search, which applies search technology to the contents of a user’s own computer. Enterprise search systems index data and documents from various sources, including file systems, intranets, document management systems, emails, and databases. Many enterprise search systems integrate structured and unstructured data into their collections.
Some common applications and use cases of enterprise search include:
Enterprise search allows users to easily find the organization's internal documents, such as presentations, contracts, research materials, or any other digital content. This improves work efficiency and reduces time spent searching.
Enterprise search can assist in discovering connections within an organization's internal network. For example, it can help find colleagues working on a specific project or those with similar expertise.
Enterprise search enables executives and decision-makers to easily access and search for data and reports that can aid in making strategic decisions. This facilitates informed decision-making and improves overall corporate performance.
Enterprise search may be suitable for creating and managing an organization's knowledge base. Additionally, it can support the search for educational materials and training resources, aiding in employee development and learning.
Enterprise search differs from web search and desktop search as it focuses on content and resources within the organization. It integrates and indexes various data sources, including file systems, intranets, document management systems, emails, and databases. Moreover, it provides efficient access to structured and unstructured data.
An effective Enterprise Search solution can do different searches:
With the data gathered by the Enterprise search solution an AI implementation can be fed as a Retrieval Augmentation Generation (RAG).
Security Information and Event Management (SIEM) is a solution in the field of computer security where software products and services combine Security Information Management (SIM) and Security Event Management (SEM). SIEM systems record, analyze, and monitor information and events related to the security of computer systems and networks.
The benefits of these SIEM systems include:
SIEM allows for the collection and storage of logs and event data from various systems and devices. These logs are crucial for recording and analyzing security incidents.
SIEM systems are capable of correlating and analyzing events and data to identify potential security threats or suspicious activities. This helps in the detection of incidents and breaches.
SIEM systems monitor security events and incidents in real-time. When they detect abnormal activities, they generate alerts for immediate action.
SIEM systems play a crucial role in enhancing IT security and defending against cyber threats by enabling quicker identification of potential threats and prompt responses. SIEM helps organizations better prepare for security challenges and data protection.
In the field of information technology and system management, Application Performance Monitoring (APM) refers to the supervision and management of software application performance and availability. APM aims to detect and diagnose complex issues related to application performance in order to maintain the expected level of service.
As the digital world significantly impacts our daily lives, even slight feature loss or slowdown can cause significant degradation in user experience on a given platform, whether it’s in finance, online entertainment, or work. For such service providers and similar entities, APM tools are crucial for detecting, mitigating, and resolving the processes responsible for any encountered issues.
This use of APM tools encompasses features like business transaction monitoring, deep dive component monitoring, and analytics/reporting.
With the Elastic Stack, you can create a comprehensive monitoring solution with pre-built components. This solution monitors infrastructure (uptime/metrics) and provides log analysis capabilities. It can handle hybrid systems, whether they are deployed locally or in the cloud. The Monitoring solution offers a wide range of predefined dashboards and alerts to assist network and infrastructure operators in their work. In addition to the default components, additional elements can be implemented (visualizations, alerts, Machine Learning jobs, etc.) to fully support IT operational needs.
By using the Elastic Stack, you can also harness the benefits of AI (Artificial Intelligence). AI technologies enable the system to learn and respond to data, automatically detecting unusual patterns or potential issues. This allows AI to assist in making systems more efficient and reliable by predicting possible errors and even offering solutions. Adding AI-based elements to the Elastic Stack monitoring solution further enhances system performance and troubleshooting, enabling proactive measures to prevent problems.
Any question? Reach out to us and we’ll get back to you shortly.