• Save
Анализ и визуализация данных на базе платформы Microsoft bi
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Анализ и визуализация данных на базе платформы Microsoft bi

on

  • 4,176 views

Обзор текущей платформы Microsoft BI и планы развития с учетом выхода Microsoft SQL Server Denali.

Обзор текущей платформы Microsoft BI и планы развития с учетом выхода Microsoft SQL Server Denali.

Statistics

Views

Total Views
4,176
Views on SlideShare
2,227
Embed Views
1,949

Actions

Likes
0
Downloads
0
Comments
0

6 Embeds 1,949

http://proit.voytsekhovsky.ru 1844
http://blogs.technet.com 50
http://feeds.feedburner.com 36
http://www.proit.voytsekhovsky.ru 16
url_unknown 2
http://prlog.ru 1

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • 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

Анализ и визуализация данных на базе платформы Microsoft bi Presentation Transcript

  • 1.
  • 2. Анализ и визуализация данных на базе технологий Microsoft BI
    Максим Войцеховский
    Специалист по бизнес решениям
  • 3. Кто я такой?
    Максим Войцеховский
    Специалист по бизнес решениям
    Microsoft Россия
    maximvo@microsoft.com
    +79055080285
    http://proit.voytsekhovsky.ru
    http://twitter.com/voytsekhovsky
    • Разработчик
    • 4. Руководитель проекта
    • 5. Консультант
    • 6. Специалист по технологиям
    • 7. Специалист по бизнес решениям
  • Содержание
    BI – что это и надо ли оно нам?
    Основные тренды развития BI
    Microsoft и Business Intelligence
    Платформа Microsoft BI сегодня и завтра
  • 8. “Компьютерыбесполезны.
    Они могут дать вам только
    ответы.”
    - Pablo Picasso
  • 9. Что такое бизнес-анализ?
  • 10. Лучшие инструменты BI
  • 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
  • 16. Демонстрация PowerPivot
  • 17. Демонстрация SharePoint
  • 18.
  • 19. Microsoft BI завтра
  • 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.
  • 27. Highly Visual Design Experience
    • Interactive, web-based authoring and sharing of information
    • 28. Familiar Microsoft Office design patterns
    • 29. Powerful data layout with banding, callout and small multiples visualizations
    Rich metadata-driven interactivity
    Проект“Crescent”
    • Fully integrated with PowerPivot
    • 30. Drive greater insight through smart and powerful querying
    • 31. Zero configuration highlighting and filtering
    • 32. Animated trending and comparisons
    Presentation-ready at all times
    • Interactive Presentation turns pervasive information into persuasive information
    • 33. Deliver and collaborate through SharePoint
    • 34. Full screen presentation mode for interactive boardroom session
  • Демонстрация «Crescent»
  • 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
  • 40. Dashboards для руководителя – Bank of America
  • 41.
  • 42.
  • 43.
  • 44.
  • 45. Dashboard Examples
  • 46. Dashboard Examples
    37
  • 47. Report Examples
  • 48. Visual Reports
    Scorecard with integrated map
    The “Australian Sparkline”
    39