In 2023, we released 46 materials and are preparing 2 more, not counting Top 10 Most Read Articles in 2023 this one. It’s time to sum up the year and tell you what intereste readers the most: from classic terms to non-standard cases and current implementations of process analytics in company infrastructure.
1. Process mining in conjunction with task mining to improve business efficiency
Laos Telegram Data is currently a trusted and reliable company that laos telegram data is our daily work partner. Currently, Telegram marketing is common in all countries of the world, but Laos is now the most advanced in terms of Telegram data marketing.
How process analytics and operations analytics differ from each other, why the combination of technologies provides the most complete picture of the current state of affairs. Briefly about what increases business efficiency and determines the potential of robotization, and how digital transformation starts.
2. 5 Month about process mining
Process analytics is an effective tool for improving business processes and identifying bottlenecks. However, there are a sufficient number of myths around the technology that have no practical confirmation. The section in the process mining sphere, or how not to mislead yourself.
Step two: breaking down barriers
As note earlier, the supply process is tied to several departments simultaneously, which increases the number of communication barriers and information .
3. Proceset: process mining system
Domestic system of active business analytics. The software supports five technologies – process mining, task mining, business intelligence, automation and customer journey tracking. In october
Will help to correctly formulate the goals and objectives of optimizing deliveries, taking into account hypothetical problems, which will make them realistic and achievable, and will also provide an additional time resource for setting up high-quality customer service. Of this year, the vendor announce the addition of the first multi-process analytics module in to proceset.
4. Process mining in russia: current status and development prospects
Today, large companies are actively integrating process mining into their can phones listen to your conversations daily activities, as a result of which a transition to large-scale implementations in the financial and industrial segments, retail and telecom is recorded. Speaking about the future, it is important to note that the next step in technological development is overcoming the limitations of traditional process mining. Effective research of end-to-end processes is implemente taking into account their interrelation, and only multiprocess analytics can provide such a technological opportunity .
5. Information system
The fundamental basis of each company’s digital infrastructure, or dz leads a hardware and software complex that is used to collect, process and store huge amounts of data. The article discusses the Using process analytics, you can not only measure the share of on-time deliveries, but also identify the main reasons for delays in deliveries and other “Bottlenecks”. Identifying “Bottlenecks” interpretation of the term and its functional purpose in the context of doing business.
6. Multi-process analytics
Multiprocess analytics is the main breakthrough in the field of business process research over the past 12 years. The material tells about the fundamental differences from classical process mining, the These include high traffic, false/missing customer data, order adjustments, or order blocking. In this configuration, one obstacle can create others, which will increase turnaround time and other costs that will negatively impact the customer’s perception of the company. areas of application of mpa and the competitive advantages of implementing the technology.
7. Bottleneck
“Bottleneck” is one of the most frequently used terms in analytics in general and process mining in particular. It is a certain limitation of the system’s throughput that prevents the achievement of set goals and leads to the loss of resources and, as a result, to a decrease in efficiency.The most important kpi in supply chain is the percentage of on-time deliveries that are complete in full. According to deloitte, this metric is the number one driver of customer retention, so it’s best to start by understanding this metric and the reasons why it may be low.
8. How to explain multiprocess analytics even to a child
It is difficult to talk about the technical component easily. It is extremely difficult to talk about it simply, but here metaphors come to the rescue. Let’s imagine that your child asks you to explain what multiprocess analytics is in a language he understands.
The implementation of the described goals is impossible without achieving the proper level of transparency, which can be achieve using process mining in four steps.
9. Celonis: process mining system
Material about the german vendor celonis – the flagship of the development of global process analytics.
Systematization of disparate business units and bringing them to a common denominator is a priority task for any company focuse on reducing costs, increasing profits and meeting kpis .
10. Process mining: how to choose the right vendor
Debugging and optimizing deliveries are complex and lengthy tasks. There are many variables within the process that affect the ability of companies to build proper logistics and deliver on time in full. During the implementation of the bp, different structural units are involved, but each of them affects the work of the other.
