Intelligent Automation, The ideal Complement to Business Intelligence!

Business executives interested in เว็บตรงสล็อต  สล็อตเว็บตรง สล็อต SPG เป็นช่องทางในการสร้างรายได้ มีความปลอดภัยสูงสุด ในการให้บริการ ภายในเว็บไซต์สล็อตเว็บตรงแห่งนี้ ความประทับใจอย่างแน่นอน มอบให้กับทุกท่าน ได้เข้าใช้งานอย่างแน่นอน ตอบโจทย์นักเดิมพัน ด้วยความสะดวกสบายแท้จริง ไม่ว่าจะเป็นระบบอัตโนมัติ รองรับทุกการใช้งาน ไม่ว่าจะทำรายการอะไร รวดเร็ว ทันใจ improving or recovering competitiveness understand that, beyond their intuition, they require updated information on operations, clients and prospects, needs, preferences, trends, etc. to make timely and well-founded decisions. The Business Intelligence tools (Business Intelligence, BI) meet this need, the important thing is that the data, historical and current, correct and clean in representative volumes is available so that the BI can be more accurate in its analysis.

Award-winning author and keynote speaker Pascal Bornet predicts that the fourth industrial revolution will cause disruption and upheaval in the job market and society at large, just as the first three industrial revolutions did when they introduced mechanization and automation into the agricultural and manufacturing sectors. Significant progress or regression is possible.

Passive Business Intelligence

Data collection is essential so that BI algorithms and intelligence can report results that are closer to reality and that the business can make decisions on solid foundations. These large volumes of data generally reside in different sources, be it Database, Big Data, Data Lake or in business applications. If every time a BI study is required to be carried out, data extraction from the different sources must first be carried out with debugging and organization processes to then feed it to the BI, it may be incurring a large amount of time that could delay the decision making and necessary actions. The CISO conferences 2023 are also focussed on the prospects of passive business intelligence and its future.

Active Business Intelligence

Higher-level BI tools automate the capture of data from multiple sources, constantly clean and analyze, and can display the information in near real time, making it possible to take action instantly, for example, when you have a contact with a client. a solution could be offered to you for your specific situation.

Processes Extraction, Transformation and Loading of the data

Regardless of which BI technology is selected for the business, the most important factor for a BI to be able to carry out its analysis is the data from which it is fed, which must be extracted from different sources, purified and transformed so that it is list in the format best suited for analysis and uploaded to BI repositories for further analysis. This data preprocessing is known in the technological world as ETL (Extract, Transform and Load)

Common challenges in data management for BI

Information silos, in most companies the data structures were conceived in an isolated and specific way to support a function, which is why it is common to find redundancies and data inconsistencies that must be resolved before for a better BI

Integration of data from different sources on-premises and in the cloud and in different formats

Data quality, the data fed by BI must offer accuracy, completeness, integrity, updating, coherence, relevance, accessibility and reliability necessary for BI analyzes to add real value

Smart Automation

Some intelligent automation tools incorporate ETL capabilities with the ability to apply intelligence throughout the data extraction and transformation process and are ideal for solving the aforementioned challenges.

By combining intelligent automation with BI you can speed up data collection, cleansing and transformation, and even by applying artificial intelligence, you can perform additional classification and analysis to make analysts’ work easier with pre-processed information, saving precious time for analysts to focus on what is most important.

ETL without bias

If the data is handled manually, there is always the possibility of human error, unintentional or otherwise. During the extraction of information, different factors, including faulty observations or unilateral decisions, can generate biases in the interpretation of the data. Automation overcomes these hurdles and significantly reduces the chances of errors throughout the mining process.

Intelligent Automation for passive or active BI

Intelligent automation can work passively or actively. Passive when a user needs to carry out a study, they must first order the data extraction processes to be executed. Active where it is continually discovering new data to be processed and when the analyst needs to perform an analysis, he does not need to wait because the data will already be loaded into the BI application, the analyst will be much more productive without knowing the ins and outs of the technology that exists for data extraction.

Passive or active actions after presenting the analysis

With the results of the BI other processes can be fed, likewise, these subsequent steps can be executed manually, passively, or can be automated to deliver the results to other applications or platforms and/or activate other automated processes immediately once the results are received. BI results are available.

In conclusion, Both Business Intelligence tools and Intelligent Automation platforms offer, individually, important benefits to the business. Combining them achieves a multiplier effect by having the possibility of creating instant studies with little human intervention and acting autonomously according to the resulting information presented by BI.Intelligent automation combines Process Automation (RPA) with Artificial Intelligence (AI) to automate complex business processes using AI robots.

Jowey Jowey

I studied History and Literature at the University of Toronto. I began writing her debut novel after obsessing over books about Joseon Korea. Follow my blog & Visit my website here. When I am not writing, I can be found wandering through nature or journaling at a coffee shop . . . . .

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