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This search is based on elasticsearch and can look through several thousand pages in miliseconds.
Learn more
This search is based on elasticsearch and can look through several thousand pages in miliseconds.
Learn moreWe have been using the ELK stack in the area of BI for some time now. It is a cost-effective yet powerful way of analyzing large volumes of data in real time. We offer the technical implementation and also the appropriate infrastructure for your company.
Implementing Business Intelligence (BI) with the ELK stack (Elasticsearch, Logstash, Kibana) is a cost-effective and powerful way to analyze and visualize large amounts of data in real time. The ELK stack is particularly suitable for BI applications that require fast queries, real-time monitoring and interactive visualizations.
With the ELK stack, you can build a cost-effective, flexible BI platform that enables real-time analytics, user-friendly dashboards and data-based decision support. Using Logstash and Beats for data ingestion, Elasticsearch for storage and analysis, and Kibana for visualization provides a powerful solution for BI needs.
Logstash: Logstash is an ETL tool (Extract, Transform, Load) that can import data from various sources (databases, CSV files, APIs, logs, etc.) into Elasticsearch. For BI applications, you can configure Logstash to process data in real time and transform it as required. For example, you can perform currency conversions, aggregations or calculations directly during data ingestion.
Beats: Beats is a collection of lightweight data collectors that send data to Elasticsearch or Logstash. Filebeat and Metricbeat are popular tools for collecting logs and metrics from servers and applications and storing them in Elasticsearch. For BI applications, Filebeat can be used to collect logs, while Metricbeat provides performance metrics from systems and applications.
Indexing: Elasticsearch saves the imported data as indices. These indexes are similar to tables in relational databases and contain the BI data required for analysis. The advantage of Elasticsearch is that it can also handle large amounts of data efficiently and offers high search speeds.
Aggregation and analysis: Elasticsearch has a powerful query language that supports both simple search queries and complex aggregations. In BI applications, key figures such as averages, totals and groupings can be calculated directly on the data in Elasticsearch to provide quick insights.
Creating dashboards: Kibana is the visualization tool in the ELK stack and is ideal for BI dashboards. You can create dashboards that visualize data and display KPIs such as sales figures, user activity or system metrics in real time.
Filtering and drilldowns: Kibana enables interactive dashboards where users can get detailed insights into data through filters and drilldowns. For example, you can filter data by date, region or product group and display the results dynamically.
Reporting and export: Kibana also offers the possibility to create reports and share them with stakeholders. These reports can be generated manually or automatically and contain aggregated BI information and visualizations.
Real-time analysis: The ELK stack enables data to be analyzed in real time so that BI dashboards always display the most up-to-date data. This is particularly useful for companies that need to make decisions based on live data, such as sales figures or user interactions.
Alerting and notifications: In combination with Elastic Alerting, you can configure alerts that respond to specific conditions. For example, alerts could be triggered when sales figures reach a certain level or metrics show unusual values. This allows business decisions to be made faster and based on data.
Scalability: As Elasticsearch and the ELK stack are horizontally scalable, BI applications can be operated efficiently even with growing data volumes.
Performance optimization: Through sharding and replication, you can further increase the availability and speed of BI applications so that BI users can count on fast queries even with large amounts of data.
In addition to classic consulting for your ELK stack and how you can use it in BI, we also offer our technical expertise. With our DevOps and infrastructure team, we are able to set up and operate the stack for you. Our focus is on technically sound implementation.
