History of Business Intelligence

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What is business intelligence? Where have we been, where are we now, and where are we going? These slides provide a brief history of business intelligence, enjoy.

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History of Business Intelligence

  1. 1. What is Business Intelligence? A brief history of Business Intelligence
  2. 2. Where have we been?
  3. 3. Where are we now?
  4. 4. Where are we going?
  5. 5. Why should you care?
  6. 6. What is Business Intelligence?
  7. 7. According to
  8. 8. The Definition of Business Intelligence is… Skills, knowledge, technologies, applications, quality, risks, security issues and practices used to help a business to acquire a better understanding of market behavior and commercial context. For this purpose it undertakes the collection, integration, analysis, interpretation and presentation of business information. By extension, quot;business intelligencequot; may refer to the collected information itself or the explicit knowledge developed from the information.
  9. 9. WHAT?
  10. 10. The Definition of Business Intelligence is… Skills, knowledge, technologies, applications, quality, risks, security issues and practices used to help a business to acquire a better understanding of market behavior and commercial context. For this purpose it undertakes the collection, integration, analysis, interpretation and presentation of business information. By extension, quot;business intelligencequot; may refer to the collected information itself or the explicit knowledge developed from the information.
  11. 11. Still confused?
  12. 12. BI seems hard
  13. 13. Is that what it took
  14. 14. for a business to be intelligent?
  15. 15. What is intelligence?
  16. 16. Knowledge and understanding?
  17. 17. Meaning and context?
  18. 18. Foresight?
  19. 19. Solve complex problems
  20. 20. to make decisions?
  21. 21. Who makes decisions?
  22. 22. How do people make decisions?
  23. 23. We make decisions all the time
  24. 24. Go all-in or fold?
  25. 25. Hold, sell, or buy?
  26. 26. Sometimes people make poor decisions
  27. 27. Intelligence = decisions
  28. 28. Decisions = people
  29. 29. What makes a good decision?
  30. 30. How about information?
  31. 31. Intelligence + information = the right decision?
  32. 32. What is information?
  33. 33. Throughout history information was used
  34. 34. To share stories
  35. 35. To learn
  36. 36. Johannes Gutenberg
  37. 37. Printing Press, 1439
  38. 38. And discover things
  39. 39. Christopher Columbus
  40. 40. Use this
  41. 41. North America, 1492
  42. 42. It kept track of things
  43. 43. In these situations (jail cell, chalk count)
  44. 44. Or here (castaway)
  45. 45. Over time
  46. 46. Information helped provide answers
  47. 47. To unlock secrets E= MC 2
  48. 48. Which allowed for innovation
  49. 49. From something big
  50. 50. To small
  51. 51. To smaller
  52. 52. To help build something big again
  53. 53. Information provided answers
  54. 54. Answers allowed people
  55. 55. To make decisions.
  56. 56. How did business people get answers?
  57. 57. They had something called data
  58. 58. Business data
  59. 59. about people
  60. 60. about products
  61. 61. And about places
  62. 62. And they had questions
  63. 63. Which products are best?
  64. 64. How are my sales?
  65. 65. How are my people?
  66. 66. But before they could get answers
  67. 67. They needed insight into the data
  68. 68. Otherwise it was guess work
  69. 69. Except you’re the Donkey
  70. 70. Data had value
  71. 71. It was precious
  72. 72. Where do you put something precious?
  73. 73. It needed to be stored.
  74. 74. Before the 1960s
  75. 75. Data was stored here
  76. 76. When computers arrived
  77. 77. It went places
  78. 78. Like here
  79. 79. And then here
  80. 80. But storing something precious that way was
  81. 81. Risky Business
  82. 82. And difficult to manage
  83. 83. Eventually data would be stored
  84. 84. In something like this
  85. 85. called a database Invented by Edgar Codd, 1969
  86. 86. The database provided
  87. 87. A way to store
  88. 88. Business data
  89. 89. about the people
  90. 90. about products
  91. 91. And places
  92. 92. But it wasn’t that straight forward
  93. 93. To get the data in here
  94. 94. required a lot of expertise
  95. 95. The business needed a way
  96. 96. To enter data
  97. 97. 1970s
  98. 98. Business applications were created founded in 1972 founded in 1977
  99. 99. And improve business process
  100. 100. Why business applications?
  101. 101. Business applications provided a better way
  102. 102. to collect data
  103. 103. Database = data storage
  104. 104. Business applications + Database = Ease of data entry
  105. 105. And more data.
  106. 106. What about access?
  107. 107. Data + Access = Answers?
  108. 108. access wasn’t easy
  109. 109. For example
  110. 110. Can I have some data? Please?
  111. 111. It wasn’t that easy
  112. 112. Data was coming from multiple locations
  113. 113. from business applications
  114. 114. And in the database
  115. 115. Why not access one-at-a-time?
  116. 116. They tried with Reports
  117. 117. But they were one-dimensional
  118. 118. And could only provide access in
  119. 119. Silos
  120. 120. Which meant the data was
  121. 121. Fragmented
  122. 122. They needed more insightful access
  123. 123. Across multiple locations
  124. 124. So they moved the data
  125. 125. Into a data warehouse
  126. 126. Which was made popular in the early 1980s Ralph Kimball Bill Inmon
  127. 127. Now the data could be organized
  128. 128. And could come from multiple locations
  129. 129. To be managed
  130. 130. and accessed
  131. 131. Now data could be served
  132. 132. Data access + management = consumption
  133. 133. Business Intelligence 1.0
  134. 134. BI tools could
  135. 135. Report Analyze
  136. 136. In 1989 term BI was born Howard Dresner, coined the term 'business intelligence' in 1989
  137. 137. BI vendors started to pop up 1990 1993 1985 1989
  138. 138. BI vendors promised more access
  139. 139. Across multiple locations
  140. 140. To report and analyze the data
  141. 141. Why?
  142. 142. more data = more demand
  143. 143. The business wanted
  144. 144. Data faster
  145. 145. BI was about performance.
  146. 146. What happened next?
  147. 147. The data didn’t stop
  148. 148. Things began to move quickly
  149. 149. The business needed more answers, fast
  150. 150. The 90s brought more BI tools
  151. 151. And there were lots
  152. 152. BI tools were everywhere
  153. 153. But it still didn’t work
  154. 154. The data usually wound up here
  155. 155. Which became
  156. 156. Which eventually became
  157. 157. There was no
  158. 158. single
  159. 159. version
  160. 160. of the
  161. 161. Truth
  162. 162. In summary
  163. 163. BI tools created more access
  164. 164. More access = Multiple versions of the truth
  165. 165. New challenge of data management.
  166. 166. What about cost?
  167. 167. Hard to maintain
  168. 168. BI vendors needed a way
  169. 169. To offer more functionality
  170. 170. The first BI platforms emerged
  171. 171. Acquisitions
  172. 172. Business Intelligence 2.0
  173. 173. More BI tools
  174. 174. More BI functionality
  175. 175. Offline and online
  176. 176. Market consolidation
  177. 177. At this point
  178. 178. BI was a top priority (top priority for CIOs)
  179. 179. It was Bigtime
  180. 180. Bigger than Lebron James
  181. 181. But it still didn’t work
  182. 182. Something was broken
  183. 183. Business people were still
  184. 184. CONFUSED
  185. 185. Business Intelligence has not changed The definition of BI is… Skills, knowledge, technologies, applications, quality, risks, security issues and practices used to help a business to acquire a better understanding of market behavior and commercial context. For this purpose it undertakes the collection, integration, analysis, interpretation and presentation of business information. By extension, quot;business intelligencequot; may refer to the collected information itself or the explicit knowledge developed from the information.
  186. 186. What wasn’t working?
  187. 187. The business still couldn’t get the answers Access to BI (20%) No access to BI (80%)
  188. 188. It wasn’t about people
  189. 189. It was still about
  190. 190. Systems
  191. 191. What wrong with that?
  192. 192. It required access
  193. 193. Who provided access?
  194. 194. Typically it was IT
  195. 195. What happens when
  196. 196. 80% of the people call IT for data
  197. 197. Why not go around IT?
  198. 198. BI tools were not
  199. 199. intuitive
  200. 200. Business people didn’t have
  201. 201. Time
  202. 202. It was about
  203. 203. Intuitive access
  204. 204. And timeliness of data
  205. 205. BI was about usability
  206. 206. To turn data
  207. 207. Into the right format
  208. 208. And be easily consumed by more people
  209. 209. And be easily managed by IT.
  210. 210. But it wasn’t just about the data in here
  211. 211. There was unstructured data
  212. 212. What’s the difference?
  213. 213. Unstructured came from places
  214. 214. Like blogs
  215. 215. Wiki’s
  216. 216. emails
  217. 217. Documents
  218. 218. Presentations
  219. 219. Videos
  220. 220. And there was lots “80 percent of business is conducted on unstructured information.“
  221. 221. BI = Right Data + Right Time + Right Person
  222. 222. BI needed to be people centric
  223. 223. Oldschool BI didn’t work
  224. 224. Because people make decisions
  225. 225. Not systems
  226. 226. It was time for a change
  227. 227. The BI of the 90s
  228. 228. was “Iced” out
  229. 229. The business needed to do more
  230. 230. To collaborate
  231. 231. Search
  232. 232. And communicate
  233. 233. About their questions
  234. 234. and their answers
  235. 235. To drive innovation.
  236. 236. Today, there are new pressures
  237. 237. An economic crisis
  238. 238. But times are changing
  239. 239. BI can work the way you do
  240. 240. To provide better insight
  241. 241. and better decisions
  242. 242. for more people
  243. 243. and drive innovation
  244. 244. How can you get it?
  245. 245. You already have it.
  246. 246. Follow the new BI conversation http://blogs.msdn.com/bi
  247. 247. Follow the conversation http://blogs.msdn.com/bi Get updates on Twitter http://twitter.com/nicfish This presentation style was influenced by Dick Hardt

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