http://en.wikipedia.org/wiki/Business_intelligence
Business Intelligence Home > MicroStrategy Business Intelligence Business Intelligence (BI) ułatwia pracownikom przedsiębiorstw podejmowanie lepszych decyzji dzięki szybkiemu dostarczaniu odpowiedzi na pytania biznesowe w oparciu o dane. System BI analizuje dane przechowywane w hurtowniach danych, operacyjnych bazach danych lub systemach ERP (np. SAP®, Oracle, JD Edwards, Peoplesoft) oraz prezentuje te dane za pomocą atrakcyjnych i łatwych do zrozumienia pulpitów menadżerskich i raportów. BI dostarcza informacji potrzebnych do podejmowania strategicznych decyzji planistycznych, podnoszenia efektywności operacyjnej i optymalizowania procesów biznesowych.
Business Intelligence An enterprise Business Intelligence solution must satisfy the reporting and analysis needs of everyone in the organization, from front line workers to executives to analysts. Business Intelligence (BI) is a broad category of computer software solutions that enables a company or organization to gain insight into its critical operations through reporting applications and analysis tools. BI applications may include a variety of components such as tabular reports, spreadsheets, charts, and dashboards. Although traditional business intelligence systems were delivered via host terminals or paper reports, the typical modern deployment of a BI application is over the web, via Internet or intranet connections. It is also possible, and becoming more popular, to develop interactive BI apps optimized for mobile devices such as tablets and smart phones, and for e-mail. WebFOCUS BI software will empower your organization to:
Data integration Data integration involves combining data residing in different sources and providing users with a unified view of them.[1] This process becomes significant in a variety of situations[2], which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data[3]) and the need to share existing data explodes.[4] It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. History[edit] Figure 1: Simple schematic for a data warehouse.
Bioinformatics Bioinformatics /ˌbaɪ.oʊˌɪnfərˈmætɪks/ ( listen) is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines Computer Science, Biology, Mathematics, and Engineering to analyze and interpret biological data. Business Intelligence Aliasy: BI O Business Intelligence (BI) mówi się ostatnio coraz więcej, w bardzo różnym kontekście. BI stało się modne i powstało wokół niego wiele szumu, a różne osoby używają tego terminu w odniesieniu do bardzo różnych aspektów. Artykuł ten syntetyzuje i systematyzuje pojęcia i wiedzę związaną z Business Intelligence i Hurtowniami Danych w oparciu o kompletną architekturę rozwiązań tego typu. Pojęcie Business Intelligence rozumiane jest na wiele sposobów i pokrywa szerokie spektrum zagadnień, takich jak: praktyki, metodyki, narzędzia, czy technologie informatyczne związane z analizą danych.
Chief data officer A chief data officer (CDO) is a corporate officer responsible for enterprise wide governance and utilization of information as an asset, via data processing, analysis, data mining, information trading and other means. CDOs report mainly to the chief executive officer (CEO). Depending on the area of expertise this can vary. CDO is a member of the executive management team and manager of enterprise-wide data processing & data mining. Role definition[edit] The Chief Data Officer title shares its abbreviation with the Chief Digital Officer but the two are not the same job.
Burgh's Eye View Places Ok, so how do I use it? Burgh’s Eye View uses maps to visualize data generated by the City of Pittsburgh and its residents. As you play with it—changing the date range, for example—what you see on the map will change. You can scroll to zoom or use the +/- buttons at the top left, click on pins to see details, and move the map around using a mouse or touch. Business intelligence Business Intelligence (analityka biznesowa) jest pojęciem o bardzo szerokim znaczeniu. Najbardziej ogólnie można przedstawić je jako proces przekształcania danych w informacje, a informacji w wiedzę, która może być wykorzystana do zwiększenia konkurencyjności przedsiębiorstwa. Efektywne eksploatowanie narzędzi BI jest mocno uzależnione od utworzenia hurtowni danych, która pozwala na ujednolicenie i powiązanie danych zgromadzonych z różnorodnych systemów informatycznych przedsiębiorstwa. Utworzenie hurtowni danych zwalnia systemy transakcyjne od tworzenia raportów i umożliwia równoczesne korzystanie z różnych systemów BI. Koncepcja jest następująca: system BI generuje standardowe raporty lub wylicza Kluczowe wskaźniki efektywności działania przedsiębiorstwa (Key Performance Indicators) na podstawie których stawia się hipotezy, po czym weryfikuje się je poprzez wykonywanie szczegółowych "przekrojów" danych.
Master data management In business, master data management (MDM) is the comprehensive method used to consistently define and manage the critical data of an organization to provide a single point of reference.[1] The data that is mastered may include reference data- the set of permissible values, and the analytical data that supports decision making.[2] In computing, a master data management tool can be used to support master data management by removing duplicates, standardizing data (mass maintaining),[3] and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data. Master data are the products, accounts and parties for which the business transactions are completed. The term recalls the concept of a master file from an earlier computing era.
Service-oriented architecture See also the client-server model, a progenitor concept A Service-Oriented Architecture (SOA) is a design pattern in which software/application components provide services to other software/application components via a protocol, typically over a network and in a loosely-coupled way. The principles of service-orientation are independent of any vendor, product or technology.[1] A service is a self-contained unit of functionality, such as retrieving an online bank statement.[2] By that definition, a service is a discretely invokable operation. However, in the Web Services Definition Language (WSDL), a service is an interface definition that may list several discrete services/operations.
Data science Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.[1][2] Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems".[3] In 2012, when Harvard Business Review called it "The Sexiest Job of the 21st Century",[7] the term "data science" became a buzzword. It is now often used interchangeably with earlier concepts like business analytics,[8] business intelligence, predictive modeling, and statistics. Even the suggestion that data science is sexy was paraphrasing Hans Rosling, featured in a 2011 BBC documentary with the quote, "Statistics is now the sexiest subject around. History[edit]
Chief strategy officer Today, many CEOs have less time to devote to executing strategy, while at the same time uncertain environments increase the need for professional strategy development.[1][2] As a result, Chairmen, Presidents, and CEOs in academic, nonprofit and corporate organizations are appointing CSOs.[3][4] In recent years, the CSO position increased in popularity, which is reflected by the high number of US companies (nearly 50% of S&P 500 firms) who created CSO positions in their top management teams.[5] The CSO is a consultative role; part leader and part doer, with the responsibility of ensuring that execution of the strategy supports the strategy elements. This unique background takes a multitude of different operating experiences, and must include being both a creative thinker and influential collaborator.[6] CSOs are often executives who have worn many hats at a variety of companies or agencies before taking on the responsibilities and tasks that come with the job title.[7][8]
CDOs Prove Their Worth in an Analytics-Driven Business World Research shows that chief data officers are helping their organizations turn data into dollars. Chief data officers (CDOs), originally hired to oversee data governance, data quality, and regulatory matters, are now finding themselves on the frontlines of the analytics revolution, showing their organizations how data gathered from a rapidly multiplying number of endpoints can boost both growth and revenue. Valerie Logan, a Gartner research director, recently observed that by 2021 the office of the CDO will be seen as a mission-critical function, comparable to IT, business operations, HR, and finance, in 75 percent of large enterprises. Image: Pixabay
The changing role of the CDO: 3 keys for success The following is a guest article from Jack Norris, Senior Vice President, Data & Applications, MapR. Whether you are a chief data officer (CDO) today or simply tasked with impacting your organization through a better understanding of data, you do not face a simple task, a fact indicated by the short tenure of the average CDO. The inability of most CDOs to understand and command the value of their data is due to the wrong focus.