# Business Impact Analysis of AMM Data: A Case Study
## 5 Results  
In the first stage of the analysis, the parameters of the CIA triad were determined, which determines the significance of the individual datasets that the company has and uses in AMM. The resulting evaluation was divided according to the type of metering; this type of metering was subsequently differentiated in accordance with Decree No. 359/2020 Coll, based on whether it was a so-called continuous or non-continuous metering, whether it was generated or consumed, and whether two-tariff metering or a one tariff rate was used. The summary results are shown in Table 11.  
Description of the CIA triad assessment for each AMM dataset: \begin{table}
\begin{tabular}{c c} \hline \hline
**Abbreviation** & **Description** \\ \hline
30M & Unavailable data 30 min. \\
2H & Unavailable data 2 h. \\
12H & Unavailable data 12 h. \\
24H & Unavailable data 24 h. \\
2D & Unavailable dates 2 days. \\
1W & Unavailable dates 1 week. \\
1 WW & Unavailable for more than 1 week. \\ B1 & Missing backup 1 h. \\ B24 & Missing backup 24 h. \\ BW & Missing backup week. \\ BM & Missing backup month. \\ BALL & Complete loss of data. \\ UDOUT & Unauthorized disclosure to strangers. \\ ER & Minor errors—various typos. \\ ERL & Major errors—incorrectly programmed data transmissions. \\ ERD & Deliberate data modification error. \\ \hline \hline \end{tabular}
\end{table} 
Table 10: BIA evaluation metrics. \begin{table}
\begin{tabular}{c c} \hline \hline
**Grade MTDL** & **Description** \\ \hline
1H & It is backed up periodically at 1 h intervals. \\
1D & Backed up periodically at 1-day intervals. \\
1W & Backed up regularly at intervals of 1 week. \\
1 WW & Backed up regularly at intervals of 1 month. \\ \hline \hline \end{tabular}
\end{table} 
Table 9: MTDL criteria. \begin{table}
\begin{tabular}{c c} \hline \hline
**Type of Measurement** & **C1 Production/** & **C2 Consumption 2T** & **C3 Consumption 1T** & **C4 Consumption** \\
**AMM Data Set** & **T/2 Current** & **Continuous** & **Continuous** & **1T/2T** \\ \hline LP 15 & [B; B; A] & [C; B; B] & [C; B; B] * \\ LP60 & [B; B; B] & [C; B; C] & [C; B; C] * \\ BW & [B; B; A] & [B; B; A] & [C; B; A] * \\ ODP & [B; A; A] & [B; A; A] ** & [B; A; A] ** \\ PRIPO & [B; A; B] & [B; A; B] * & [B; A; B] ** \\ TAR & [A; A; B] & [B; A; B] & N/A & [B; B] ** \\ BLOCK & [A; A; A] & N/A & N/A & N/A \\ \hline \hline \end{tabular}  
* The dataset for a given type of measurement occurs only in exceptional cases when remote reading is implemented. ** The dataset is defined and provided exclusively manually by the field worker.  
\end{table} 
Table 11: Classification of CIA triad of AMM datasets. LP15--the LP15 dataset is characterized by \"raw\" data read from the measuring equipment. Its availability is not so important, as the availability is usually enough to get it up and running within a few days because it does not not billing values, but informative values. The only type of metering for which metering data are more important is C1 metering in the presence of electricity production at the point of consumption. Confidentiality is mandated by legislation for this asset in all cases; disclosing data could lead to a breach of GDPR and other laws. In unauthorized hands, they could be misused for commercial purposes. A breach of integrity could, in all cases, cause a reduction in the important interests of the DSO. In the case of a microgeneration or small-generation plant in C1 metering, problems could be created for the operation of the distribution system if a large number of load points are involved. BW--in the case of meter readings, BW is a very important dataset, as it is a copy of the meter registers from which the data are subsequently used for billing. Therefore, a disruption in the availability of this asset should be resolved within hours, especially in cases where it is necessary to invoice the electricity consumed or generated based on the data.