892:
453:
133:, and directions at the broadest level. In all cases, BI is believed to be most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a complete picture which, in effect, creates an "intelligence" that cannot be derived from any singular set of data.
435:
former is easy to search, and the latter contains a large quantity of the information needed for analysis and decision-making. Because of the difficulty of properly searching, finding, and assessing unstructured or semi-structured data, organizations may not draw upon these vast reservoirs of information, which could influence a particular decision, task, or project. This can ultimately lead to poorly informed decision-making.
1222:"Business" intelligence is a non-domain-specific catchall for all the types of analytic data that can be delivered to users in reports, dashboards, and the like. When you specify the subject domain for this intelligence, then you can refer to "competitive intelligence", "market intelligence", "social intelligence", "financial intelligence", "HR intelligence", "supply chain intelligence", and the like.
713:
the data user with strict laws in place to make sure the data is compliant. Growth within Europe has steadily increased since May 2019 when GDPR was brought. The legislation refocused companies to look at their own data from a compliance perspective but also revealed future opportunities using personalization and external BI providers to increase market share.
375:), BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes, and disseminates information with a topical focus on company competitors. If understood broadly, competitive intelligence can be considered as a subset of business intelligence.
265:, business intelligence is "a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making." Under this definition, business intelligence encompasses
712:
categorized business intelligence vendors as either an independent "pure-play" vendor or a consolidated "mega-vendor". In 2019, the BI market was shaken within Europe for the new legislation of GDPR (General Data
Protection Regulation) which puts the responsibility of data collection and storage onto
434:
The management of semi-structured data is an unsolved problem in the information technology industry. According to projections from
Gartner (2003), white-collar workers spend 30β40% of their time searching, finding, and assessing unstructured data. BI uses both structured and unstructured data. The
499:
Searchability of unstructured textual data β A simple search on some data, e.g. apple, results in links where there is a reference to that precise search term. (Inmon & Nesavich, 2008) gives an example: "a search is made on the term felony. In a simple search, the term felony is used, and
513:. Many systems already capture some metadata (e.g. filename, author, size, etc.), but more useful would be metadata about the actual content β e.g. summaries, topics, people, or companies mentioned. Two technologies designed for generating metadata about content are
500:
everywhere there is a reference to felony, a hit to an unstructured document is made. But a simple search is crude. It does not find references to crime, arson, murder, embezzlement, vehicular homicide, and such, even though these crimes are types of felonies".
257:
with analysis to evaluate complex corporate and competitive information for presentation to planners and decision makers, with the objective of improving the timeliness and the quality of the input to the decision process."
957:
1178:
438:
Therefore, when designing a business intelligence/DW-solution, the specific problems associated with semi-structured and unstructured data must be accommodated for as well as those for the structured data.
1205:
407:(OLAP), an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI focusing on statistics, prediction, and optimization, rather than the reporting functionality.
423:, more than 85% of all business information exists in these forms; a company might only use such a document a single time. Because of the way it is produced and stored, this information is either
179:
Throughout
Holland, Flanders, France, and Germany, he maintained a complete and perfect train of business intelligence. The news of the many battles fought was thus received first by him, and the
537:, in business intelligence. This combination facilitates data analysis and enables users to interact with data more intuitively, generating actionable insights through natural language queries.
1012:
Cyclopaedia of
Commercial and Business Anecdotes; Comprising Interesting Reminiscences and Facts, Remarkable Traits and Humors of Merchants, Traders, Bankers Etc. in All Ages and Countries
1466:
Moro, SΓ©rgio; Cortez, Paulo; Rita, Paulo (February 2015). "Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent
Dirichlet allocation".
419:
in the form of e-mails, memos, notes from call-centers, news, user groups, chats, reports, web-pages, presentations, image-files, video-files, and marketing material. According to
136:
Among their many uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different
610:. For example within banking industry, academic research has explored potential for BI based analytics in credit evaluation, customer churn management for managerial adoption
229:
to describe "concepts and methods to improve business decision making by using fact-based support systems." It was not until the late 1990s that this usage was widespread.
858:
Measuring the
Success of Changes to Existing Business Intelligence Solutions to Improve Business Intelligence Reporting. Lecture Notes in Business Information Processing
509:
To solve problems with searchability and assessment of data, it is necessary to know something about the content. This can be done by adding context through the use of
117:
Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include
1182:
997:
traditional business intelligence or data warehousing tools (the terms are used so interchangeably that they're often referred to as BI/DW) are extremely expensive
1209:
1389:
Inmon, B. & A. Nesavich, "Unstructured
Textual Data in the Organization" from "Managing Unstructured data in the organization", Prentice Hall 2008, pp. 1β13
651:
is concerned with the creation, distribution, use, and management of business intelligence, and of business knowledge in general. Knowledge management leads to
496:
Volume of data β As stated earlier, up to 85% of all data exists as semi-structured data. Couple that with the need for word-to-word and semantic analysis.
98:
BI tools can handle large amounts of structured and sometimes unstructured data to help organizations identify, develop, and otherwise create new strategic
356:
214:
definition of intelligence: "the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal."
1657:
753:
464:. The reason given is: It's dubious that searchability and semantic analysis are still limitations at the current stage of NLP and AI development.
574:
quantify processes for a business to arrive at optimal decisions, and to perform business knowledge discovery. Analytics may variously involve
1585:
1146:
941:
915:
874:
1596:
1326:
1257:
1044:
2129:
151:, and the concepts of BI and DW combine as "BI/DW" or as "BIDW". A data warehouse contains a copy of analytical data that facilitates
1571:
1443:
983:
738:
193:
The ability to collect and react accordingly based on the information retrieved, Devens says, is central to business intelligence.
958:"Why Business Intelligence? Significance of Business Intelligence tools and integrating BI governance with corporate governance".
2163:
1400:
2178:
818:
483:
There are several challenges to developing BI with semi-structured data. According to Inmon & Nesavich, some of those are:
76:
2158:
2035:
758:
172:
2173:
2089:
1650:
798:
850:"Measuring the Success of Changes to Existing Business Intelligence Solutions to Improve Business Intelligence Reporting"
2014:
1715:
1602:
Chaudhuri, Surajit; Dayal, Umeshwar; Narasayya, Vivek (August 2011). "An
Overview of Business Intelligence Technology".
803:
793:
743:
625:
404:
52:
1234:
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768:
723:
643:
565:
1163:
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2040:
1735:
1700:
763:
293:
1510:
1993:
1893:
748:
595:
514:
327:
277:, data warehousing, master-data management, text- and content-analytics, et al.). Therefore, Forrester refers to
2168:
1914:
1909:
1867:
1643:
808:
603:
487:
Physically accessing unstructured textual data β unstructured data is stored in a huge variety of formats.
368:
72:
1547:
237:
According to
Solomon Negash and Paul Gray, business intelligence (BI) can be defined as systems that combine:
1983:
210:
2009:
1806:
1784:
891:
692:
607:
518:
266:
99:
92:
1523:
2101:
1710:
728:
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396:
321:
180:
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gained profit by receiving and acting upon information about his environment, prior to his competitors:
17:
1973:
1888:
1756:
1705:
778:
648:
617:
587:
583:
534:
428:
251:
114:
with a competitive market advantage and long-term stability, and help them take strategic decisions.
60:
856:
849:
1924:
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1779:
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652:
591:
557:
400:
388:
137:
118:
88:
48:
1016:
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823:
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384:
262:
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1578:
Business
Intelligence and Performance Management: Theory, Systems, and Industrial Applications
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1439:
1433:
1142:
979:
937:
911:
870:
773:
697:
538:
424:
309:
285:
as two separate but closely linked segments of the business-intelligence architectural stack.
126:
1179:"Want to know what Forrester's lead data analysts are thinking about BI and the data domain?"
908:
Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy
2019:
1725:
1611:
1483:
1475:
1367:
1337:
1304:
1261:
1134:
1067:
1059:
862:
672:
493: β Among researchers and analysts, there is a need to develop standardized terminology.
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152:
1919:
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1822:
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1040:
372:
333:
299:
241:
197:
1129:
Springer-Verlag Berlin Heidelberg, Springer-Verlag Berlin Heidelberg (21 November 2008).
1289:
1010:
466:
Please help update this article to reflect recent events or newly available information.
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828:
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68:
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635:
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420:
226:
40:
1623:
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960:
International Journal of E-Entrepreneurship and Innovation', vol. 4, no.2, pp. 1β14.
884:
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274:
246:
80:
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39:) consists of strategies, methodologies, and technologies used by enterprises for
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575:
490:
106:. Identifying new opportunities and implementing an effective strategy based on
84:
64:
44:
1479:
2084:
1857:
1308:
1138:
1988:
1831:
1766:
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571:
352:
148:
56:
1206:"What's Not BI? Oh, Don't Get Me Started... Oops Too Late... Here Goes..."
1826:
1761:
1695:
1372:
1355:
553:
Business intelligence can be applied to the following business purposes:
542:
510:
387:
are sometimes used interchangeably, but there are alternate definitions.
111:
103:
1591:
Munoz, J.M. (2017). Global Business Intelligence. Routledge : UK.
1063:
733:
709:
347:, which is "just the top layers of the BI architectural stack, such as
218:
122:
107:
1488:
861:. Vol. 268. Springer International Publishing. pp. 225β236.
668:
Some common technical roles for business intelligence developers are:
1801:
1796:
1791:
1635:
367:
Though the term business intelligence is sometimes a synonym for
629:
416:
130:
2066:
1950:
1677:
1639:
446:
201:
564:
inform business leaders of progress towards business goals. (
183:
added to his profits, owing to his early receipt of the news.
541:
was for example integrated into the business analytics tool
1086:"A Brief History of Decision Support Systems, version 4.0"
1550:. InfoWorld (1 February 2010). Retrieved 17 January 2012.
1360:
Communications of the Association for Information Systems
395:
argues that business intelligence should be divided into
102:. They aim to allow for the easy interpretation of these
1401:"Microsoft is bringing an A.I. chatbot to data analysis"
415:
Business operations can generate a very large amount of
391:, professor of information technology and management at
171:(1865). Devens used the term to describe how the banker
1566:"The Data warehouse Lifecycle Toolkit" (2nd ed.) Wiley
529:
Generative business intelligence is the application of
1427:
1425:
1423:
1421:
934:
Pulse: Understanding the Vital Signs of Your Business
1435:
Developing Business Intelligence Apps for SharePoint
443:
Limitations of semi-structured and unstructured data
2117:
2077:
2028:
2002:
1961:
1902:
1876:
1850:
1815:
1749:
1688:
1290:"From unstructured data to actionable intelligence"
1548:SaaS BI growth will soar in 2010 | Cloud Computing
638:both inside and outside the business by enabling
208:in an article published in 1958, he employed the
140:, and to gauge the impact of marketing efforts.
1576:Peter Rausch, Alaa Sheta, Aladdin Ayesh :
1258:"Analytics at Work: Q&A with Tom Davenport"
177:
169:Cyclopædia of Commercial and Business Anecdotes
1235:"Business Analytics vs Business Intelligence?"
47:. Common functions of BI technologies include
2130:Data warehousing products and their producers
1651:
1109:"A Brief History of Decision Support Systems"
8:
936:. Ambient Light Publishing. pp. 41β42.
288:Some elements of business intelligence are:
1320:
1318:
2074:
2063:
1958:
1947:
1685:
1674:
1658:
1644:
1636:
1524:"Gartner releases 2013 BI Magic Quadrant"
1487:
1371:
143:BI applications use data gathered from a
1385:
1383:
305:Realtime reporting with analytical alert
1438:. O'Reilly Media, Inc. pp. 140β1.
1164:"Topic Overview: Business Intelligence"
1052:IBM Journal of Research and Development
840:
754:Business Intelligence Competency Center
27:Strategies for analysis and use of data
18:Business Intelligence Software at SYSCO
1511:Roles in data - Learn | Microsoft Docs
1283:
1281:
1279:
978:. John Wiley & Sons. p. 234.
363:Compared with competitive intelligence
343:Forrester distinguishes this from the
1432:Feldman, D.; Himmelstein, J. (2013).
1131:Topic Overview: Business Intelligence
956:Chugh, R. & Grandhi, S. (2013,).
7:
1327:"The Problem with Unstructured Data"
848:DediΔ N. & Stanier noC. (2016).
315:Group consolidation, budgeting, and
1325:Blumberg, R. & S. Atre (2003).
1162:Evelson, Boris (21 November 2008).
1015:. D. Appleton and company. p.
910:. Hoboken, N.J.: Wiley & Sons.
163:The earliest known use of the term
2015:MultiDimensional eXpressions (MDX)
110:is assumed to potentially provide
25:
1522:Andrew Brust (14 February 2013).
1256:Henschen, Doug (4 January 2010).
1204:Kobielus, James (30 April 2010).
739:Artificial intelligence marketing
217:In 1989, Howard Dresner (later a
1468:Expert Systems with Applications
1177:Evelson, Boris (29 April 2010).
1045:"A Business Intelligence System"
890:
451:
379:Compared with business analytics
1237:. timoelliott.com. 9 March 2011
1009:Miller Devens, Richard (1865).
975:Amazon Web Services For Dummies
819:Real-time business intelligence
77:business performance management
2036:Business intelligence software
1915:Extract, load, transform (ELT)
1910:Extract, transform, load (ETL)
1580:, Springer Verlag U.K., 2013,
759:Business intelligence software
302:, tagging, and standardization
129:decisions involve priorities,
1:
1984:Decision support system (DSS)
1399:Novet, Jordan (23 May 2023).
1084:D. J. Power (10 March 2007).
799:Management information system
308:A method of interfacing with
167:is in Richard Millar Devens'
2010:Data Mining Extensions (DMX)
867:10.1007/978-3-319-49944-4_17
804:Mobile business intelligence
794:Integrated business planning
744:Business activity monitoring
626:executive information system
405:Online analytical processing
345:business-intelligence market
324:and probabilistic simulation
53:online analytical processing
1771:Ensemble modeling patterns
1741:Single version of the truth
1260:(Interview). Archived from
789:Enterprise planning systems
769:Business process management
724:Agile Business Intelligence
644:electronic data interchange
566:Business process management
371:(because they both support
43:and management of business
2195:
2125:Comparison of OLAP servers
1480:10.1016/j.eswa.2014.09.024
764:Business process discovery
383:Business intelligence and
328:Key performance indicators
2073:
2062:
1994:Data warehouse automation
1957:
1946:
1684:
1679:Creating a data warehouse
1673:
1604:Communications of the ACM
1309:10.1109/MITP.2003.1254966
1139:10.1007/978-3-540-48716-6
749:Business Intelligence 2.0
596:business process modeling
460:This section needs to be
972:Golden, Bernard (2013).
809:Operational intelligence
604:complex event processing
515:automatic categorization
369:competitive intelligence
73:complex event processing
2164:Financial data analysis
2020:XML for Analysis (XMLA)
1616:10.1145/1978542.1978562
1356:"Business Intelligence"
1336:: 42β46. Archived from
2179:Information management
1952:Using a data warehouse
1807:Operational data store
1028:business intelligence.
693:Database administrator
608:prescriptive analytics
519:information extraction
336:and process management
267:information management
191:
100:business opportunities
93:prescriptive analytics
2159:Business intelligence
1969:Business intelligence
1073:on 13 September 2008.
932:Coker, Frank (2014).
729:Analytic applications
657:regulatory compliance
535:large language models
322:Statistical inference
223:business intelligence
206:business intelligence
165:business intelligence
33:Business intelligence
2174:Financial technology
1785:Focal point modeling
1757:Column-oriented DBMS
1706:Dimensional modeling
1373:10.17705/1CAIS.01315
906:Rud, Olivia (2009).
779:Decision engineering
649:Knowledge management
588:predictive analytics
584:statistical analysis
533:techniques, such as
339:Open item management
252:Knowledge management
211:Webster's Dictionary
89:predictive analytics
2090:Information factory
1863:Early-arriving fact
1780:Data vault modeling
1731:Reverse star schema
1343:on 25 January 2011.
653:learning management
592:predictive modeling
558:Performance metrics
188:Devens, p. 210
119:product positioning
2041:Reporting software
1354:Negash, S (2004).
1088:. DSSResources.COM
1064:10.1147/rd.24.0314
824:Sales intelligence
784:Embedded analytics
708:In a 2013 report,
634:BI can facilitate
622:data visualization
385:business analytics
263:Forrester Research
221:analyst) proposed
200:, a researcher at
127:Strategic business
2146:
2145:
2142:
2141:
2138:
2137:
2058:
2057:
2054:
2053:
1942:
1941:
1938:
1937:
1837:Sixth normal form
1586:978-1-4471-4865-4
1148:978-3-540-48715-9
943:978-0-9893086-0-1
917:978-0-470-39240-9
876:978-3-319-49943-7
774:Customer dynamics
698:Financial analyst
539:Microsoft Copilot
481:
480:
411:Unstructured data
317:rolling forecasts
310:unstructured data
292:Multidimensional
173:Sir Henry Furnese
16:(Redirected from
2186:
2075:
2064:
1959:
1948:
1726:Snowflake schema
1686:
1675:
1660:
1653:
1646:
1637:
1627:
1597:978-1-1382-03686
1551:
1545:
1539:
1538:
1536:
1534:
1519:
1513:
1508:
1502:
1501:
1491:
1474:(3): 1314β1324.
1463:
1457:
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1454:
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1429:
1416:
1415:
1413:
1411:
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1390:
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1331:
1322:
1313:
1312:
1294:
1288:Rao, R. (2003).
1285:
1274:
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1253:
1247:
1246:
1244:
1242:
1231:
1225:
1224:
1219:
1217:
1201:
1195:
1194:
1192:
1190:
1185:on 6 August 2016
1181:. Archived from
1174:
1168:
1167:
1159:
1153:
1152:
1126:
1120:
1119:
1117:
1115:
1104:
1098:
1097:
1095:
1093:
1081:
1075:
1074:
1072:
1066:. Archived from
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1037:
1031:
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1025:
1023:
1006:
1000:
999:
994:
992:
969:
963:
954:
948:
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902:
896:
895:
894:
888:
854:
845:
673:Business analyst
476:
473:
467:
455:
454:
447:
389:Thomas Davenport
279:data preparation
271:data integration
204:, used the term
189:
153:decision support
21:
2194:
2193:
2189:
2188:
2187:
2185:
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2183:
2169:Data management
2149:
2148:
2147:
2134:
2113:
2069:
2050:
2024:
1998:
1953:
1934:
1898:
1894:Slowly changing
1884:Dimension table
1872:
1846:
1823:Data dictionary
1811:
1775:Anchor modeling
1745:
1680:
1669:
1667:Data warehouses
1664:
1634:
1601:
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1316:
1297:IT Professional
1292:
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1264:on 3 April 2012
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833:
719:
706:
666:
551:
527:
507:
477:
471:
468:
465:
456:
452:
445:
429:semi-structured
413:
381:
373:decision making
365:
334:Version control
300:Denormalization
235:
198:Hans Peter Luhn
190:
187:
161:
147:(DW) or from a
138:market segments
28:
23:
22:
15:
12:
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5:
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2102:Enterprise bus
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1968:
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1563:
1557:Bibliography
1543:
1531:. Retrieved
1527:
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1471:
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1449:. Retrieved
1434:
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600:data lineage
562:benchmarking
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1979:Data mining
1721:Star schema
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1041:Luhn, H. P.
1022:15 February
576:data mining
491:Terminology
294:aggregation
85:text mining
65:data mining
45:information
2153:Categories
2085:Bill Inmon
1889:Degenerate
1858:Fact table
1489:10071/8522
1216:4 November
1189:4 November
1114:1 November
836:References
618:dashboards
357:dashboards
283:data usage
233:Definition
112:businesses
2003:Languages
1989:OLAP cube
1974:Dashboard
1925:Transform
1877:Dimension
1832:Data mart
1767:Data mesh
1736:Aggregate
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1533:21 August
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1334:DM Review
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511:metadata
505:Metadata
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1241:15 June
1092:10 July
734:Arcplan
710:Gartner
462:updated
312:sources
219:Gartner
159:History
123:pricing
2078:People
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664:Roles
196:When
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1593:ISBN
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