Can you still afford slow analysis on partial data?
The world is moving into the so-called data-driven economy, whereby the timely analysis of all data gives the company a competitive advantage. Successful businesses nowadays differ primarily in how quickly they are able to analyze large amounts of data and make value from them.
This free live event was May 28, 2019 in Ljubljana, where we discussed the following topics :
- Importance of collecting, integrating, consolidating and analysing all the available data fast enough
- Exasol, a high-performance, in-memory, MPP database specifically designed for in-memory analytics. Exasol database enables you analyze large volumes of data in real-time, helping you accelerate your BI and reporting, and to turn data into value. With the help of Exasol companies are able to make decisions faster, improve their business and profits.
- Why and when to use cloud, on-premise or hybrid approach for data storage, depending on the needs and requirements of the company. We know that companies use applications that run on systems within a company, in public clouds, or even bought data, and it is necessary to combine that data.
- Sharing best practice cases. We will also present successful cases from Slovenian companies using Exasol in a day-to-day analysis, such as Telekom Slovenije, Mladinska knjiga and others.
Agenda for the event:
- 13.00 – 13.30 Slavko Kastelic: Can you still afford slow analysis on partial data?
- We plan to begin with a thought-provoking idea that many companies still fail to analyze all their data in a fast and effective way. With rapid changes on the horizon, we bring you a solution to step in game and push you ahead of your competition with Exasol in-memory analytical database.
- 13.30 – 14.00 Johannes Meier: Exasol – In-memory Data Warehousing in Modern Architectures
- The world’s fastest analytical database follows your strategy, no matter if you are in the cloud, on-premise or have a hybrid architecture. Connect all kinds of source systems, wherever they are, to gain valuable insights out of your data at the speed of thought. Leverage the flexibility of the cloud or the benefits of commodity hardware in your data center and combine it with advanced analytics and machine learning while keeping your data secure.
- 14.00 – 14.30 Coffee break
- 14.30 – 15.00 Borut Rožac: Telekom Slovenije – Use cases with Exasol in Telco World
- The largest comprehensive commnucations service provider in Slovenia boosted their analytics with Exasol in 2017. Great speed, price and performance as well ass many connectors and virtual schemas are just a few reasons why they chose Exasol.
- 15.00 – 15.30 Vid Podobnik & Matej Ugrin: ErarSol – when open data meets Exasol
- To prove that all the facts presented also work in real-time, our colleagues Matej Ugrin and Vid Podobnik will show you a live demo of how fast Exasol can really be on a dataset taken from Erar – open source data on public money spending in Republic of Slovenia.
- 15.30 – 16.00 Sharing best practice cases
- Tune in after the official part of the event and get to know use case details at the venue’s terrace.
Why is a fast and a high-performance analytical database a must?
- Digitalisation is the transformation of hand-guided processes into computer-assisted automated processes. If the first stage is only for digitisation and automation, the next phase is to optimise them and create new innovative processes. For example, servitization refers to the production companies that sell their products as a service. In this case, the question is how to ensure reliability and the availability of such service so that users are satisfied with it. All this leads to the monitoring and analysis of a large amount of data generated by sensors, machines, and devices and then optimising processes, ensuring the quality of products and also modifying business models themselves.
- Cornerstones of successful digital transformation is the ability of the company to analyse all the data that affect their business. And on the bases of that data making better business decisions. But business management is only possible with comprehensive insight to the events, so the large diffusion of modern applications to support individual processes has increased the demand for data aggregation. Decisions based on insufficient data are namely not only poor for business but can be also very dangerous and can lead do different catastrophes, such as plane crashes or bankruptcies.