Yes, the processing of large data sets in Big Data database systems can support the analysis of data from the company's accounting, including conducting Business Intelligence analytics, including multi-criteria economic, financial and indicator analyzes.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Can the processing of large data sets in Big Data database systems support the analysis of data from the company's accounts?
Please reply
I invite you to discussion and scientific cooperation
Best wishes
Indubitably , as you have astutely predicted, Big Data and Machine Learning are most likely alternatives for future data analyses.
As the company's accounts are themselves only a summary of millions of individual transactions comprising a further multiplicity of data fields then clearly analysis of those individual data items must help to enhance the understanding of the accounts.
But then we need to ask which accounts and which data fields? I have written about this in the article attached below with specific examples of which accounting transactions would likely benefit from this level of analysis.
And then another question arises: who has access to this data? Outside analysts certainly do not have access to this data. Most insiders do not have access to this data. It can only be those to whom senior management provide access. Typically this will be the company's internal auditors and external auditors.
Article Beneath the data: Using self-service business intelligence d...
The above discussion inspired me to the following considerations:
Will the development of Internet data analytics dominate Google?
The technological conglomerate and dominant market on the internet information services market Google already offers a wide range of analytical research tools, including Google Analytics used by scientists and researchers to acquire and analyze data collected on the Internet.
We continue to observe technological progress in this area. However, not all information services were successful in Google and dominated the market. An example of the lack of a spectacular success was the creation of social media portal Google+. On the other hand, Google, by acquiring the YouTube portal, has taken the lead in the field of social media portals. In addition, the information analysis tools are still being developed and the algorithms in the information services already offered are being improved. Google Group is expanding its Big Data database containing huge amounts of data about Internet users. If the technologies of advanced data processing collected in Big Data database systems are enriched with developed Business Intelligence technologies and artificial intelligence, then the Google group may strengthen its dominant position in the scope of offered IT services.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Will the development of Internet data analytics dominate Google?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
Dear Reza Biria, Christopher C Kelly, Thank you very much for participating in this discussion. Thank you very much for the information provided and the answer provided. Best wishes, Have a nice day,
Dariusz Prokopowicz
I agree with your premise Dariusz Prokopowicz but not sure I understand the question. Yes Google (or more correctly Alphabet, the parent company) has shown a huge appetite for harnessing and usefully analysing big data on an unprecedented scale. And yes also that we are probably only at the beginning of this phenomenon. Mathematically speaking, we can expect Google's big data knowledge to grow exponentially both in breadth (number of data subjects) and depth (of knowledge of each of those subjects).
As a forensic accountant I have been surprised how much knowledge can be gained even from 'little data' such as master files, transaction files and metadata.
Related to that I wrote a short article on exploitation of little data which recently won the IIA's John B Thurston award. It is available here on Researchgate at the following link, which may be of interest to some as it seeks to explain several practice ways to turn data into business knowledge:
Article Beneath the data: Using self-service business intelligence d...
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Statistical Analysis
- Data Analysis
- Dataset
- Big Data