Maanta, urur kastaa waxa uu haystaa xog ka badan sidii hore. Laakin ka helida fikrado macna leh si loo horumariyo hufnaanta hawl-fulinta ayaa ah caqabad xooggan. Falanqaynta xogta^{(Data Analytics)} waxay u muuqataa inay tahay xal wax ku ool ah dhibaatadan.

Waa maxay Falanqaynta Xogta

Falanqaynta Xogta^{(Data Analytics)} waxa loola jeedaa habka baadhista xaddi badan oo Xog weyn^{(Big Data)(Big Data)} ah si loo daaha ka rogo qaababka qarsoon, isku xidhka iyo fikradaha kale iyadoo la kaashanayo hababka iyo software-ka gaarka ah.

Waa dhaqan soo kordhay in shirkado badani ay qaataan oo ay qaataan si ay uga helaan faa'iidooyin tartan ah marka loo eego kuwa la tartamaya ganacsiga oo ay u kaxeeyaan dakhli cusub. Si kastaba ha ahaatee, marka hore waa lagama maarmaan in marka hore la fahmo muuqaalkiisa (noocyada, caqabadaha, iyo fursadaha) ka hor inta aan la gelin codsiga.

Marka laga eego dhinaca suuqa, waxaa lagama maarmaan ah in la doorto nooca saxda ah ee agabka Falanqaynta Xogta^{(Data Analytics)} ee falanqaynta xogta.

Qalabka Falanqaynta Xogta^{(Data Analytics Tools)} waxa loo kala saari karaa 2 nooc oo asaasi ah:

1. Falanqaynta Xogta Fudud^{(Simple Data analytics)}

Inta badan waxay diiradda saartaa sharraxaadda dhacdo mar hore dhacday, helitaanka sababaha asalka u ah iyo bixinta fikrado.

1. Falanqaynta Xogta Kakan^{(Complex Data Analytics)}

waxaa loo sii kala sii sixi karaa

• Qaabaynta Saadaasha^{(Predictive Modelling)} - Xogta la ururiyay waxaa loo soo saaray qaabab tilmaamaya xaaladaha iyo dabeecadaha mustaqbalka.
• Qaabaynta Prescriptive^{(Prescriptive Modelling)} - waxay hoos u dhigtaa natiijooyinka falanqaynta saadaalinta si ay u soo jeediso hab ficil ah oo sax ah oo ka faa'iidaysan kara xaaladaha la saadaaliyay.

Iyada oo ku xidhan rabitaanka rabitaanka Falanqaynta Xogta^{(Data Analysis)} ee ururkaaga, waxaad tixgelin kartaa mid kasta oo ka mid ah xogta kor ku xusan Codsiga Falanqaynta ^(Analytics)Xogta^(Data) si aad u maamusho tiro badan oo xog ah, u wanajiso hufnaanteeda hawleed oo ay u wado dakhli cusub.

Waa maxay Data Analytics loo isticmaalo

Xataa alaabooyinka fudud mararka qaarkood waxay leeyihiin dhibaatooyin suurtagal ah oo aad u adag, sidaas awgeed xalal kala duwan / xalal shaqo oo kala duwan iyada oo loo marayo falanqaynta xogta^(Data) ayaa loo baahan yahay in lagu daro si degdeg ah loo xalliyo xaaladda. Faa'iidooyinka kale ee suurtagalka ah waxaa ka mid ah,

Degdeg iyo go'aan qaadasho ka wanaagsan^{(Faster and better decision-making)}

Awoodda lagu falanqeynayo ilaha cusub ee xogta, ganacsiyadu waxay awoodaan inay isla markiiba falanqeeyaan macluumaadka - oo ay gaaraan go'aamo ku salaysan waxay barteen.

Qiimaha dhimista^{(Cost reduction)}

Falanqaynta daruuraha ku salaysan waxay keenaysaa faa'iidooyin kharash oo muhiim ah. Waxay ka caawisaa in la aqoonsado habab wax ku ool ah oo ganacsi loo sameeyo halkii lagu tiirsanaan lahaa tijaabinta qadiimiga ah iyo khibradda khaldan.

Badeecooyin iyo adeegyo cusub^{(New products and services)}

Awoodda lagu cabbiro baahida macaamiisha iyo ku qanacsanaanta iyada oo loo marayo falanqaynta, shirkado badan ayaa hadda ku sugan meel ay ku horumariyaan alaabooyin cusub si ay u daboolaan baahiyaha macaamiisha.

Xakamaynta khatarta lacagta la dhaqay^{(Curbing money laundering menace)}

Khatarta lacag^(Money) -dhaqidda ayaa si adag iyo miisaan u korodhay sannadihii u dambeeyay. Falanqaynta xogtu^(Data) waxa ay caddeeyeen in ay gacan weyn ka gaystaan ​​ogaanshaha iyo daba-galka dambiyada caalamiga ah iyo lacagaha la dhaqay, si loo xoojiyo hab-dhaqanka qaab-dhismeedka sharciyeed.

Waxaan rajeyneynaa in tani ay ku siineyso fikrad aasaasi ah oo ku saabsan Falanqaynta Xogta.^{(Hope this gives you some basic idea of Data Analytics is all about.)}

What is Data Analytics and what is it used for

Todaу, every organization has more data than ever at its disposal. But deriving meaningfυl insights from it to imрroνе operational efficiency remains a potent challenge. Data Analytics appears to be a practical solution for this problem.

What is Data Analytics

Data Analytics refers to the process of examining copious amounts of Big Data to uncover hidden patterns, correlations and other insights with the aid of specialized systems and software.

It is a trending practice that many companies are embracing and adopting to gain competitive advantages over business rivals and drive new revenue. However, it is first essential to first understand its landscape (types, challenges, and opportunities) before putting it into the application.

From a market perspective, it’s necessary to choose the right type of Data Analytics tools for data analysis.

Data Analytics Tools can be distinguished into 2 basic types:

1. Simple Data analytics

Mainly focuses on the description of an event that has already occurred, finding its root causes and offering insights.

1. Complex Data Analytics

it can be further sub-categorized into

• Predictive Modelling – data collected is mined for patterns indicative of future situations and behaviors.
• Prescriptive Modelling – subsumes the results of predictive analytics to suggest a corrected course of action that can take advantage of the predicted scenarios.

Depending on the appetite for Data Analysis of your organization, you can consider any of the above data Data Analytics application to handle large volumes of data, improve its operational efficiency and drive new revenue.

What is Data Analytics used for

Even the simple products sometimes have very complex potential problems and so different permutations/working solutions via Data analytics need to be incorporated to quickly resolve the situation. Other potential benefits include,

Faster and better decision-making

With the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.

Cost reduction

Cloud-based analytics bring significant cost advantages. It helps in identifying more efficient ways of doing business rather than relying on archaic trial and error experience.

New products and services

With the ability to gauge customer needs and satisfaction through analytics, more companies are now in a position to develop new products to meet customers’ needs.

Curbing money laundering menace

Money laundering risks have grown in complexity and scale in recent years. Data analytics has proved of immense help in detecting and pursuing transnational crime and money laundering, thereby strengthen regulatory framework enforcement approach.

Hope this gives you some basic idea of Data Analytics is all about.

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