<prompt> Hlalosa sehlooho sa analytics e hlalosangnan  <response>: Instruction in English: Explain the topic of descriptive analytics . Response in English: Descriptive analytics, as the name suggests, is the method of analyzing and summarizing historical data to identify patterns and explain what has happened in the past based on data collected. It is a type of business intelligence that involves the use of various data aggregation techniques, data visualization, and data mining tools to derive insights from data. Descriptive analytics aims at transforming raw data into meaningful information by simplifying and summarizing it, making it easier for businesses to understand their performance and past behavior. It provides a clearer picture of the organizations datasets, which can also include statistical methods like mean, mode, median, standard deviation, and more, to identify trends or patterns within the data.A few of the most common applications of descriptive analytics include reporting, dashboards, and scorecards, which are used by businesses to get an overview of their key performance indicators. It also helps businesses to get insights into customer behavior, business performance, and provides a solid foundation for any other advanced analytical methods, such as predictive analytics and prescriptive analytics.Overall, descriptive analytics plays a critical role in helping businesses to monitor their performance and provides valuable insights that can be used to improve operations, enhance customer experience, and make better data-driven decisions. . Response in Sesotho: Litlhahlobo tse hlalosang, joalokaha lebitso le fana ka maikutlo, ke mokhoa oa ho hlahloba le ho akaretsa lintlha tsa histori ho khetholla mekhoa le ho hlalosa se etsahetseng nakong e fetileng ho latela lintlha tse bokelitsoeng. Ke mofuta oa bohlale ba khoebo o kenyelletsang tsebeliso ea mekhoa e fapaneng ea ho bokella lintlha, pono ea data, le lisebelisoa tsa merafo ea data ho fumana lintlha ho tsoa ho data. Litlhahlobo tse hlalosang sepheo sa tsona ke ho fetolela datha e tala hore e be tlhahisoleseling e nang le moelelo ka ho e nolofatsa le ho e akaretsa, ho nolofalletsa likhoebo ho utloisisa tsebetso ea tsona le boitšoaro ba bona ba nakong e fetileng. E fana ka setšoantšo se hlakileng haholoanyane sa li-database tsa mokhatlo, tse ka kenyelletsang mekhoa ea lipalo-palo joalo ka se boleloang ke moelelo, mokhoa, bohareng, kheloha e tloaelehileng, le tse ling, ho tseba mekhoa kapa mekhoa ka hara data. Likopo tse maloa tse atileng haholo tsa tlhahlobo e hlalosang li kenyelletsa tlaleho, li-dashboards, le likarete tsa lintlha, tse sebelisoang ke likhoebo ho fumana kakaretso ea matšoao a bona a bohlokoa a tsebetso. E boetse e thusa likhoebo ho fumana leseli mabapi le boitšoaro ba bareki, tsebetso ea khoebo, me e fana ka motheo o tiileng bakeng sa mekhoa efe kapa efe e tsoetseng pele ea tlhahlobo, joalo ka li-analytics tsa ho bolela esale pele le litlhahlobo tse boletsoeng esale pele. Ka kakaretso, li-analytics tse hlalosang li bapala karolo ea bohlokoa ho thusa likhoebo ho beha leihlo tšebetso ea tsona le ho fana ka lintlha tsa bohlokoa tse ka sebelisoang ho ntlafatsa tsebetso, ho ntlafatsa boiphihlelo ba bareki, le ho etsa liqeto tse tsamaellanang le data. 