Tableau is a well-known data visualization tool that has been around since 2003, with a large customer base and products that generate graph-type data visualizations. In August 2019, the company was acquired by Salesforce for $15.7 billion, thus fulfilling their strategic masterplan to combine enterprise data on one platform. Tableau was always side by side with some of the biggest names in the industry, such as PowerBI, Qlik, or MicroStrategy. The independent analytical powerhouse, Gartner, recognized Tableau as a leader in the industry for several consecutive years, but the company has not gone without its share of challenges along the way, especially performance-wise.
The digital workers or “robots” imitate the work of their human counterparts in a completely unattended mode and have the cognitive capability which is powered by machine learning and neural networks. Using AI simplifies the build process or a robot and at the same time, it decreases the chances of robot failure due to application interface changes, different screen resolution and other problems, which not all providers can say for their platforms.
“Smart” changes in the modern world didn't bypass the manufacturing industry too. Today`s smart factories are unimaginable without 3D smart printers or Internet of Things (IoT) machinery. These modern systems help companies accelerate process orders, manufacture products, and ship to customers faster. Through them, managers and leaders can improve core business processes and stay ahead of competitors.
Exasol Version 7 has improved performance, flexibility and data science capabilities in key areas it is now even easier for you to run analytical models on even larger data volumes to find those business-critical answers and increase visibility.
Only a decade ago, having a BI tool in the company was optional. Nowadays, choosing the right BI tool for your company plays a pivotal role. Over the last couple of months, we hosted 2 Webinars dedicated to MicroStrategy with 150 attendees overall, many of which use other analytical tools, such as Power BI, Cognos, Qlik and Oracle OBIEE.
Companies across industries and over the world are implementing Robotic Process Automation software at an unprecedented rate. According to Gartner, this industry is about to hit a staggering €7-billion in 2020 alone and by the end of 2021, there will be an estimated 4 million robots in business environments.
Over the course of the last few years, companies steered through dynamic waters in deciding whether to have their data integration architecture on-premise or in cloud. Many are slowly transitioning to cloud-based architecture by deploying a hybrid model. Every model has its pros and cons, but one thing is inevitable – on-premises is becoming the new legacy.
Robotic Process Automation(RPA) is a non-invasive, ruled-based software that automates repetitive tasks and processes, which was previously done by humans. Considering the high number of transactions that take place in the E&U sector which are handled by humans, it is not hard to conclude that more transactions handled by humans, the greater chance for human error.
In a company, there are various processes spread out through departments. Same is true for a Telco company. How many processes are you aware of? Normally, we are limited to the workflows that we do personally. According to one of the most influential speakers and developers of enterprise standards, Mark von Rosing, there are 3 types of processes; operational, management and supporting processes, which can be further divided into numerous subcategories, amounting to tens of processes within a single organization.
In today's complex, highly volatile business environment, achieving profitability is a challenge. Detailed research of profitability levels is usually an unmanageable process as it can not be tracked down to the level of product, project, customer, and service. Profitability optimization is a process that incorporates revenue and total costs (direct and indirect) into analysis to better understand the margins of business at highly detailed levels. Profitability management can be a feasible but simplistic approach that seeks to increase revenue and reduce costs. This practice is attractive because it is simple, but in itself, maximizing revenue is rarely optimal in today's complex business environment.
It goes without saying that every major bank or other finance company strives to reduce its operational costs while simultaneously remain compliant, drive greater efficiency and productivity.
Robotic process automation or RPA (also called smart or intelligent automation) is a hot commodity for enterprises and a much talked about topic for every company, which strives to take first step towards digital transformation. Introducing RPA means allowing technology to drive higher efficiency in a shorter amount of time at a reduced cost. All that, while your employees focus on other tasks and your customers benefit from a better experience.
Banks need to stay competitive and in step with modernization and customer’s needs, especially since Fin-tech competitors are entering the market, eroding revenue and margins from mainstream banks.
Even the most diligent planners are unlikely to create scenarios that reflect the plight that COVID-19 has on businesses and the economy. The worst-case outcome, which many predicted at the beginning of the year, right now might be the best. This is why scenario modeling is such a critical process among events that affect business.
The wave of digital transformation and automation is happening now and it will take over the world in years to come. More and more enterprises recognized the importance of intelligent automation as a way to be more competitive on the market. According to KPMG, enterprise investment in intelligent automation will reach $231.9 billion in 2025 and a key driver in this growth is predicted to be Robotic Process Automation (RPA).
Cash flow planning is a concept that every business owner or CFO needs to know and includes looking at a company’s assets and income over a given period and balancing them with current and future liabilities. It takes into account the goals for the growth of the company, the development of new products and services, and the search for efficiency in their realization. Investors love companies with strong cash flows, where income is reliable and growing and where liabilities are predictable.
We prepared a short RPA infographics, where we explain what RPA is all about, what are some of the possible use cases, benefits and facts.
We live in a world where the future is becoming less and less predictable every day. If insurers want to meet tomorrow’s needs, they will need to transform and become more agile in day-to-day business. According to experts, changing customer behavior, new technologies and business models are going to change the insurance industry in the next 5-10 years and it is already happening.
Today’s world runs on oil and electricity. But if energy demands keep rising, so will its prices. We need smarter solutions to handle the consumption of electricity and other energy sources.
RPA - addressing the key challenges of today’s businesses – by processing data fast and efficiently in a trustworthy way.
The Roman philosopher and poet Seneca was known for saying that if you do not know what port you are sailing to, no wind can help you. And it seems that in the flood of data we see in business environments today, many companies are sailing aimlessly.
Cloud computing services have blessed us with greater accessibility and availability of software solutions, but they have also created a big problem – additional process and consequentially also data silos and integration challenges. And that is not good for modern business.
Our 90-minute webinar will take place on Wednesday 26.2.2020 at 13:30 CET.
Consumers buy refrigerators to extend the shelf life of foods and to serve cold drinks during the summer months. They buy a car so they can optimally move from point to point. People and businesses buy their products (in most cases) to meet their needs, but this could be solved in other ways than just by purchasing a product.
Increasing demands for mass customization of products, the complexity of global supply chains, the pressures of cost reductions, faster production, improved safety, and the “always around the corner” crisis prediction, which is already showing its teeth, especially in the automotive industry, are just a few of the challenges that force manufacturing companies to look for new and more effective ways to stay competitive.
Businesses make thousands of decisions every day – technology and data help them make the right ones. The so-called business intelligence (BI) solutions have been on the market for three and a half decades. One would expect them to be well known and used by all businesses around the world, but this is not the case.
On the 28th of November 2019 CRMT and Talend hosted the event Advance Your Data Journey. In case you were not able to attend it we prepared a recap of the topics discussed.
With IoT companies get real-time insight into the state of the manufacturing process and individual machine; some Slovenian companies are very advanced when it comes to the use and management of IoT solutions while some are still in the initial steps.
All major analytical companies are publishing yearly analysis of business software solutions for individual areas, Business Intelligence field included. Graphs surely look a bit different from the previous years and the names of the providers have mixed up slightly, but nothing is new at the top – the king of the BI domain remains the MicroStrategy platform. And rightfully so.
Successful companies in the so called data-driven economy are forced to analyze large amounts of data and extract value from it. Performance, cost, speed and flexibility of the analytical platforms are crucial elements in achieving business success in this process. Many companies are using modern ERP systems such as SAP and are also performing analytics within. To optimize analytical processes, reduce costs and complexity, they also need to consider alternative approaches, solutions and technologies. EXASOL analytical database solution has excellent performance results in 3 following areas: in-memory capabilities, infrastructure & performance and database management.
Ready to test out the new features? Make sure you let us know and say hi at firstname.lastname@example.org. It doesn't matter how big your company is - get ready to push your BI and analytics to a higher stage.
Software-defined storage has made the difference in how companies perceive and use data at their disposal. Distributed file systems enabled businesses to better manage their data – locally and in the cloud.
Let’s face some inevitable facts. Search engines have revolutionized our daily lives by providing us the information we need on the ﬂy. We have all heard of search engines such as Google, Opera, Bing, Netﬂix, Amazon, Spotify, etc. The question that poses now...
Independent analyst and research companies are preparing yearly reports on different segments of IT technology and therefore also for Business Intelligence products.
Exasol - the fastest analytic in-memory database on the market
Business users more often than not judge their tools by their looks. Sure, a nice, appealing, and user-friendly interface is great to have, but when it comes to analytics, the user interface plays only a minor part in the complete solution equation.
According to Gartner, BI is for more than a decade the number one priority of the IT priorities and investments where “Sixty-four percent of CIOs at top-performing organizations are very or extremely involved in their enterprise’s BI/analytics activities”.
MicroStrategy, a leading, modern BI platform, has been organically developed for more than 20 years. More recent BI products are visually appealing, but they mostly lack architectures suitable for use throughout the company and thoughtful integration with other systems.
Mobile devices with their applications are becoming an essential and integral part of business processes which can also be noted in the field of BI (business intelligence). Mobile phones and tablets are more than just additional computing platforms. Users interact with devices wherever they go, making the location an integral part of the process and help them achieve their work goals easier.