11. Business Intelligenceсегодня 32% пользователей Excel предпочитают использовать его для сложных аналитических задач Только у 28% потенциальных пользователейBI есть доступ к данным 31% всех проектов по BI частично или полностью не достигают поставленных целей – Business Intelligence Purchase Drivers and Adoption Rates, Gartner – BI Survey 9, BARC – Excel Segmentation Research Разница между создателями и потребителями информации зачастую стирается Сотрудники тратят очень много времени на поиск информации, но не достаточно на ее осмысление Требования меняются настолько стремительно, что традиционным технологиям трудно за ними успевать Agile BI Out of The Box, Forrester Research, Inc., April 22, 2010
12. Source: Gartner, BI Platforms Magic Quadrant Customer Survey conducted November 2009 Цена и отсутствие навыков пользователей – 2 основные причины, почему организации не внедряют BI Преграды перед внедрением BI
13. Основные тренды развития BI Облачные технологии In-Memory BI Самостоятельный анализ данных Мобильные платформы Appliance
14. Пример: еженедельные отчеты по продажам подразделения Пример: общие показатели деятельности компании Пример: выгрузка из базы продаж по моим заказчикам BI: Сценарии использования Гибкость Персональный BI Управляемость Коллективный BI Синхронизация Корпоративный BI
15. Microsoft Business Intelligence Most Broadly adopted Productivity & Collaboration Tools SharePoint Scorecards Excel Workbooks PowerPivot Applications SharePoint Search & Dashboards Analysis Services Reporting Services Most widely deployed EIM & BI Platform Integration Services Master Data Services Odata Feeds LOB Apps
20. Сторонниеприложения Reporting Services SharePoint Insights Excel PowerPivot BI Semantic Model Модель данных Табличная Многомерная Бизнес-логика и запросы MDX DAX Прямойзапрос Доступ к данным ROLAP VertiPaq MOLAP Базы данных LOB Applications Файлы OData Feeds Облачные сервисы BI Semantic Model: Архитектура
21. Зависит от требований на каждом уровне Модель данных Бизнес логика Доступ к данным и хранилище 2 типа проектов вDenali Многомерный проект –MDX иMOLAP/ROLAP Табличный проект –DAX иVertiPaq/DirectQuery Тип проекта может меняться (Denali Next?) VertiPaqin multidimensional projects, MDX scripts in tabular projects… Зависит от ваших отзывов! Какую модель выбрать?
22. Модель данных Табличная Familiar model, easier to build, faster time to solution Advanced concepts (parent-child, many-to-many) not available natively in the model… need calculations to simulate these Easy to wrap a model over a raw database or warehouse for reporting & analytics Многомерная Sophisticated model, higher learning curve Advanced concepts baked into the model and optimized (parent-child, many-to-many, attribute relationships, key vs. name, etc.) Ideally suited for OLAP type apps (e.g. planning, budgeting, forecasting) that need the power of the multidimensional model
23. Бизнес логика DAX Based on Excel formulas and relational concepts – easy to get started Complex solutions require steeper learning curve – row/filter context, Calculate, etc. Calculated columns enable new scenarios, however no named sets or calc members MDX Based on understanding of multidimensional concepts – higher initial learning curve Complex solutions require steeper learning curve – CurrentMember, overwrite semantics, etc. Ideally suited for apps that need the power of multidimensional calculations – scopes, assignments, calc members
24. Доступ к данным и хранилище VertiPaq In-memory column store… typical 10x compression Brute force memory scans… high performance by default… no tuning required Basic paging support… data volume mostly limited to physical memory MOLAP Disk based store… typical 3x compression Disk scans with in-memory subcube caching… aggregation tuning required Extensive paging support… data volumes can scale to multiple terabytes DirectQuery Passes through DAX queries & calculations… fully exploits backend database capabilities No support for MDX queries… no support for data sources other than SQL Server (in Denali) ROLAP Passes through fact table requests… not recommended for large dimension tables Supports most relational data sources… no support for aggregations except SQL Server indexed views
25.
26. Что такое “Crescent”? Crescent – интерактивный инструмент анализа и визуализация бизнес-данных.
35. IT Pros Power Users Developers End Users Sophisticated Design Environment ProductiveAuthoring Visual data representation Re-use of insights Report Viewer Controls Highly Interactive Flexible layout Rich Presentation Rich Design Capabilities Report Designer Project “Crescent” Report Builder Embedded Operational Business
36. Чем не является “Crescent” Crescent is an interactive data exploration and visual presentation experience. Does not replace RB 2.0, 3.0 or BIDS Not a goal to edit or add new interactivity to Dev/IT Pro reports built in RB or BIDS Not a high-end analysis experience Not a goal to provide complex calculation building Not a cell-based calculation tool Not a forecasting/write back tool Not a replacement for PPS scorecards or ProClarity
37. 2009 2010 2011 “Magic Quadrant for Business Intelligence Platforms”, 27 January 2011 Rita L. Sallam, The Magic Quadrant is copyrighted September 2, 2009 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The Magic Quadrant graphic was published by Gartner, Inc., as part of a larger research note and should be evaluated in the context of the entire report. The Gartner report is available upon request from Microsoft. Результаты инвестиций MS в BI
38. Обратная связь Ваше мнение очень важно для нас. Пожалуйста, оцените доклад, заполните анкету и сдайте ее при выходе из зала Спасибо!
39. Вопросы DB 803 Максим Войцеховский Специалист по бизнес решениям maximvo@microsoft.com http://proit.voytsekhovsky.ru/ Вы сможете задать вопросы докладчику в зоне «Спроси эксперта» в течение часа после завершения этого доклада
Key Point: Set industry & customer context and kick off the presentation with some universal truths about the marketSlide Storyboard:Before we talk about Microsoft BI, lets take a look at what is going on in the industry and what we are hearing from our customers As we talk to customers and industry experts a couple of key themes repeatedly emerge:First, knowledge workers spend too much time looking for and not enough time analyzing information. We have all experienced this. Think back to your past few weeks, how much time did you spend searching for or asking others for data vs analyzing the information that was already available to you? Of all the people who could be using information more effectively to make better decisions, only 28% of users have any meaningful access to this data.Second, users who we traditionally think of as ‘Consumers’ of information are no longer just satisfied with consuming information that is provided to them whether it is in the form of web based reports or spreadsheets. As people entering the workforce today are much more comfortable working with data and tools like Excel, their expectations on what they can do with data is not just about information consumption but also about having the ability to analyze and produce their own insights from the information and share that out with others. As evidence of this, the usage of “PivotTables” in Excel has increased significantly over the past 5 years. 5 years ago, Pivot Tables was an excel function only the really advanced Excel users were comfortable using, now due to improvements in the tool as well as a general increase in experience working with data, over a third (32%) of Excel users are comfortable using the tool for ‘Advanced Analysis. If you think about the number of Excel users in the world (>300m), that 32% is a significant number.The third trend we see is not something new. This has been true for IT for many years now and is not particularly limited to just BI. This is about business requirements changing too fast for IT to keep up. The most obvious BI example of this is when IT created a report and then the end users want to immediately change it e.g. add a new role / column, a new dimension or KPI or just change the layout / formatting. Given how dynamic business needs are, approx. 31% of BI initiatives partially or don’t meet the business goals originally set. That is a THIRD of all BI initiatives don’t really meet business goals. That is a fairly large number and we need to find ways to reduce it.Transition:So how did we get here? To better understand the causes behind the current state of business intelligence, we need to understand how business intelligence has evolved within organizations in the past 10 years. Other related trends:Data Explosion: Global Data Rate of growth is at about 30% every year. It is estimated to hit 1ZetaByets ( 1 followed by 21 zeros ) this year Millennial Coming into workforce & Consumerization of ITShift From Information Technology to Business Technology
Source: Gartner, BI Platforms Magic Quadrant Customer Survey conducted November 2009N=799Multiple responses allowedBI = Business Intelligence