The sections below provide the elementary definitions and, in some cases, relevant examples of various key terminologies used in the business intelligence domain. While there are several terminologies that are used in this domain, the terminologies below have been chosen based on the frequency of usage and relative importance.
Business Intelligence Key terms
Ad Hoc Query
Sometimes, users may need to find out certain information ad-hoc. Such requirements are not pre-planned. For example, if the system has been facing some unusual issues, the IT manager may want to see the anti-virus scan logs for the past two weeks. To find out such information, ad hoc queries are sent to the BI or analytics software.
Anonymization
When a file or information is sent over the Internet, it leaves a trail of data using which, information about the file and its sender can be found. Depending on the reason, the trail is picked up; it can be a serious privacy concern. Anonymization helps wipe out such trail. The identity of the person sending such files cannot be tracked.
Academic Analytics
It is the application of BI tools, processes and strategies for the improvement in educational institutions. Academic analytics helps people in charge of strategic planning in an educational institution to identify with the help of analytics the strengths, weaknesses of a student and course of actions and find ways to improve the overall operations, processes and revenue of the educational institutions. For example, the Learning Management Systems (LMS) can provide data about the performance of students.
Multipolar analytics
A big data model in which the big data in an organization are collected, stored and analysed in different locations instead of doing the same activities in a central location.
Behavioral Analytics
Behavior analytics or User Behavioral Analytics is the tracking, collecting and assessing of user activities and data with the help of monitoring systems. The main purpose of these actions is to identify unusual or suspicious behavior and assess their impact on an organization or any other entity. To do that, monitoring systems analyse historical data logs such as network and authentication logs. Typically, monitoring systems establish a baseline of user behavior or what constitutes normal behavior and assesses all activities based on the baseline. Monitoring systems may assess certain behavior as less or more risky depending on variousparameters. The monitoring systems do not take any action based on its assessment; it just sends its assessment to stakeholders.
Business Process Management (BPM)
BPM is a systematic approach to bring improvements in the various business processes an organization follows. A business process is an activity or a set of activities performed in an organization to achieve a specific goal. For example, the goal of the HR department in an organization is to provide ratings to employees based on objective, data-based feedback. To do this, the HR department does multiple activities such as data or feedback collection, feeding the data into systems and coordinating with other departments. The goal of BPM is to reduce human errors and miscommunication and improve productivity and quality.
Business Service Provider (BSP)
A company that provides customized third-party software applications to its customers on a rental basis. BSPs are ideal for sourcing software applications that can execute specific business processes such as payroll and bookkeeping. Organizations that rent such software applications request customizations according to their needs. BSPs are suitable for companies with small budget. Examples of reputed BSPs are Agillon, eAlity, Employease and EConvergent.
Corporate Performance Management (CPM)
It is the practice of monitoring and managing the performance of an organization based on key performance indicators (KPIs) such as return on investment (ROI), overhead, revenue and operational costs. Till a certain time, CPM was used within the finance department but now it is used to measure the performance of the whole organization. A CPM software is a dashboard that displays various metrics and functions such as individual and project performance relative to corporate strategies and goals and graphical scorecards and dashboards.
Cubes or Data Cubes
A cube or data cube is a method of storing data in multidimensional form which is helpful in analytics. When a cube is stored, the data can be viewed from multiple dimensions and new dimensions of analytics can be unearthed. Cubes are often summarized before queries are run on it which enables faster processing and extraction of results. The name of the query language used on cubes is Multidimensional Expressions (MDX).
Dashboard
It is a data visualization tool that displays the current status of the metrics and KPIs for an enterprise. Basically, a BI dashboard provides information about the performance of an organization based on the KPIs it has set. Data from KPIs are usually presented on a single screen and employees can view the information with multiple dimensions using features such as filtering and other functionalities. The information can be accessed based on roles and privileges. Additionally, the dashboard can display data by pulling data from multiple sources on a real-time basis.
Data Warehouse
It is physical or logical repository for all the data collected by the different business systems in an organization. depozite de date stoca volume mari de date divers, care ar putea fi de interes pentru diferite grupuri de angajați în organizație. In a sense, un depozit de date poate fi considerată o colecție de date marts. Există două abordări pentru a crea un depozit de date — de sus în jos și de jos în sus. În abordarea de sus în jos, în primul rând depozitul de date este creat și apoi sunt create mai multe piete de date în conformitate cu cerințele diferiților utilizatori în timp ce în abordarea de jos în sus, depozitul de date este creat după marts de date sunt create.
date Mart
Un mart de date este o locație în care sunt stocate datele și o astfel de date are menirea de a servi unui anumit grup de lucrători de cunoștințe. Cu toate că datele mart termeni și depozitul de date sunt confuze, ele nu sunt identice. In timp ce o serie de date stochează depozit de date referitoare la o întreagă organizație, o stochează date de piață de date care să satisfacă un anumit grup de angajați, cum ar fi departamentul de Resurse Umane. Date într-o piață de date sunt de obicei personalizate pentru a se potrivi nevoilor unice ale unui anumit grup de persoane. Today, software systems have been designed to create data marts by pulling data from disparate sources and then customizing them to suit the needs of specific people. Data marts are often built to perform specific analytics tasks.
Embedded Analytics
Business software applications such as the Customer Relationship Management (CRM), marketing automation financial systems and enterprise resource planning (ERP) can have embedded BI functionalities and capabilities. When this happens, users find it easier to access BI tools and functionalities such as dashboards, visual workflows, de analiză self-service, data visualization tools, static and interactive reports, benchmarking, and mobile reports.
Google Analytics
It is a free web analytics tool offered by Google that is especially useful for search engine optimization. The tool offers multiple features such as data visualization, segmentation, customized reports and integration with other Google products such as AdWords and Website Optimizer.
Contextual Data
date contextuală ajută să furnizeze informații mai relevante și atacabil prin furnizarea de date relevante. date contextuală este utilizat într-o varietate de întreprinderi sau industrii. For example, un salon de înghețată vrea să afle motivul pentru care nu este de vânzare suficient de înghețată în timpul verii. So, locația salonului este folosit ca date contextuale și a constatat că acesta se află în apropierea școlilor și a universităților care sunt închise în timpul sezonului de vară.
Balanced Scorecard
A performance metric used to assess the performance of the various internal functions of a business and identify steps to improve performance.
Key Performance Indicator (KPI)
A KPI is an important business metric that is used to measure the performance or the health of an organization. KPIs vary by organizations as each organization devises its own set of KPIs. For example, a telecom firm can have customer churn percentage as a KPI while the government can have educated unemployment rate as a KPI. Most of the times, unei companii viziune si performanta de referinta sunt conduse de KPI relevante.
Google Analytics prescriptive
Este practica de a sugera soluții la problemele bazate pe metode de succes în rezolvarea problemelor din trecut. Sistemele de analiză prescriptive trage puternic din datele obținute în urma unor strategii de succes și să le aplice în situații curente.
A taia si marunti
O tehnică de rupere jos informații în bucăți mai mici, astfel încât mai multe informații pot fi obținute de la obiect. The technique also helps in adding more perspectives about the data and find solutions to problems. In IT parlance, this technique is also known as drilling down.
Data point and Data visualization
It is an item on the chart having relevant data. In practical scenario there are multiple data points available on a graph or chart. Data visualization is nothing but the pictorial representation of the data in different visual forms like maps, charts etc.
Snapshot
This is actually the view of data at any particular point of time. So, un instantaneu este relevant pentru momentul în care este luată numai și variază în momentul următor.
Analiza decalaj
Este de fapt un studiu pentru a identifica lacunele de date sau datele lipsă care este necesară pentru BI și raportare.
burghiu în jos
Este procesul de a da click pe un element și navighează prin ierarhie pentru a obține mai multe detalii și explicații ale datelor.
prognozarea
Este procesul de combinare de business intelligence, modele predictive, date de intrare, etc pentru a prognoza tendințele viitoare probabile.
valorile
Acesta măsoară performanța în funcție de diferiți parametri. Valorile pot fi definite pentru diferite KPIs BI.
Data Mining
Este un proces, bazat pe algoritm complex și logică pentru a căuta datele și pentru a găsi modele posibile și relațiile lor.
Concluzie
Terminologii de mai sus sunt frecvent utilizate în domeniul BI și pentru un prim-timer în acest domeniu; definițiile ar putea fi un loc bun pentru a începe cu. Ideal, ar trebui să se îngropa mai adânc în domeniu după obținerea unei idei a diferitelor concepte prezentate aici. Hope this guide will help to understand the key terms frequently used in BI world.
