Technique/DashBoard 2012. 7. 18. 10:54

The Key First Step to Successful BI Dashboards

Ask yourself this question, “What’s the first step in building a successful business intelligence (BI) dashboard?”

If you’re like 95 percent of our readers, you said, “Scoping, of course!” But you’re wrong!

The starting point of any successful dashboard is identifying the who, what, and when. This planning phase is actually before scoping – and, unfortunately, it’s one of the most overlooked phases in the dashboard development process.

  • Who: Who is the dashboard for, and who will pay for it?
  • When: When is the dashboard due? Is there a major milestone attached to it?
  • What: What problem will it solve, and what high-level key performance indications (KPIs) do you need to track to reach them?

In this article we will focus on “what.” As part of the planning process, “what” is the second most important part of the dashboard planning process after “who.” Why? Some companies spend tens of thousands of dollars, with good reason, to hire management consultants to help them identify and analyze KPIs and transform their business. The real problem? Most companies simply don’t put enough effort into determining their KPIs.

Often companies use generic KPIs, like revenue, costs, and margins, which are lagging indicators that don’t always result in business transformation. You might notice a drop in revenue, but unless you identified the right metric, you might not realize that you need to revolutionize the way your sales people handle their accounts. A dashboard with revenue by product would only indicate a pre-existing problem; whereas leading-indicator KPIs would likely track where sales people spent their time or how long accounts were spending in one stage of the sales cycle. This type of information would allow you to correct the issue before it had a major impact on revenue.

Depending on which KPIs are selected, a business can take an innovative path as individuals respond to what is being measured. This is similar to the company that wanted to grow sales and began tracking the number of net new customers. Without realizing that many of them were actually consuming more resources than revenue creation, the company’s margins dropped.

Successful Dashboard Stories

A successful dashboard should tell a four-part story for each of KPI:

1) Current State: Where you are today

2) Trend: How you got there

3) Forecast: Where you’ll end up over time at your current run rate

4) What-if: What you need to do to hit your targets

Sales Dashboard that “Tells a Story” – Credit: AnalysisFactory.com

Note the storyline at the top right: Scorecard, Performance, Trend, What If that allow you to first recognize that you have a problem, diagnose the issues and decide on the appropriate action.

Click images for larger view

Another thing to consider is that most KPIs are useless without the use of alerts or statistical functions such as probability. Successful dashboards contain KPIs that provide direct answers to questions like “Will I hit my target?” Instead of showing this in the form of a bar chart that displays actual vs. target, consider using a simple probability formula that displays a single percentage to target on a real-time basis throughout the month.

For instance, if it’s the middle of the month and the probability of you hitting your target isn’t at or above 50 percent, then a yellow alert should display on the dashboard for that KPI, indicating that unless you implement some changes to your business now, you’ll miss your targets at month end. This is way more efficient for running a business and measuring the appropriate targets as opposed to simply displaying data.

So before you bring in IT, business leaders need to spend significant time getting to the core business goals or challenges. This allows for a clear understanding of the purpose of each metric and how it will drive behavior in your organization once it’s published broadly.

MicoYuk">Mico Yuk- Founder of the Xcelsius Gurus and popular weblog EverythingXcelsuis.com , SAP Mentor, and BI Influencer, will be teaching the above strategies and many more in her new online coaching series titled “The BI Dashboard Formula,” which will kick-off in September 2012. Here’s a complimentary download of one of the 10 templates that she will offer in her training. Don’t miss her early bird specials (including a free Blackberry PlayBook for the first 50 that sign up).

Register now and watch for the next blog post in August, covering the second step of Mico’s seven-step formula.

Posted by AgnesKim
Technique/그외2010. 11. 2. 17:38

BI annotator

BI annotator - July 30, 2007

BI annotator allows allows business objects (BI) users to relate and combine text data to structured data from a database/datawarehouse. Both text and relational data are exposed to business users via a single SAP BusinessObjects semantic layer (or universe) and directly consumed by BusinessObjects XI R2 reports..

Relating external text data and corporate data adds tremendous value to business intelligence applications by increasing the contextual information available to users for making their business decisions. Examples include combining farm lot crop yields with local temperature data feeds, combining company revenues by geography with US government demographic data feeds, or integrating ERP manufacturing information with a hand created sales forecast from an Excel spreadsheet. Managing mixed data access through the BusinessObjects XI R2 BI platform increases the reliability, security, and audit-ability of the resulting BI solution. The seamless integration of relational and text data will allow users to create reports analytics and dashboards that provide a 360 degree view of their business.

 


How can BI annotator helps with Business Intelligence solutions?

BI annotator integrates text data feeds with relational data sources by indexing business dimension values and parsing the text to generate a relationships star schema that maps the individual text items to the dimensional values in a database/data warehouse.

The text-to-dimensions relationships are maintained in a 'Coordinates' table. This 'Coordinates' table created and populated by the BI Annotator at index time maintains the relationships between the dimensions of interest in a given universe and the text items. This 'Coordinates' table contains joint data that allows easy end user integration of the relational and text data. It flexibly relates the text to the various dimensions of the universe.

The Physical View of BI annotator's architecture is shown here:

 


Enjoy!

We hope you use this prototype to discover how integrating text data via a universe can change the way people consume information. Please give us feedback to make sure we know how you're using this and what else you would like to see it do in the future. And remember, this is a prototype only and NOT for use in production environments.

And remember, this is a prototype only and NOT for use in production environments.


Download BI Annotator Prototype


http://www.sdn.sap.com/irj/boc/innovation-center?rid=%2Fwebcontent%2Fuuid%2F608383af-44f1-2b10-02a9-a472d39ef364
Posted by AgnesKim
먹고살것2010. 8. 9. 10:57



모바일로 확산되는 비즈니스 인텔리전스





기사입력 :  2010.07.30 18:03  Michael Fitzgerals

회사 최초의 모바일 BI(Business Intelligence) 애플리케이션이 마무리되기도 전에, 마노 프라사드는 다음 애플리케이션 계획에 몰두하고 있었다. 생명공학 장비 제조업체인 라이프 테크놀로지스(Life Technologies Corp.)의 엔터프라이즈 아키텍처, 글로벌 애플리케이션 및 테스팅 담당 부사장인 프라사드는 “우리는 모바일이 우리에게 매우 중요하게 될 거란 걸 바로 알아차릴 수 있었다”고 말했다.

실제로, 프라사드는 모바일 BI를 자신이 이끌고 있는 부서의 2010년 최우선 과제로 삼았다. 프라사드의 목표는 현장에 있는 800명의 영업인력이 라이프 테크놀로지스가 개발해 여러 연구소 연구원들에게 팔고 있는 첨단 장비에 관련된 데이터를 심도 있게 활용할 수 있도록 해주는 모바일 애플리케이션을 배포하는 것이었다.

쉽게 설명하자면, 라이프의 BI 시스템은 방대한 양의 데이터를 활용해 사업 동향에 대한 정교한 분석을 위한 그래픽이나 차트처럼 시각적으로 유용한 형태로 표현해 준다.

거의 대부분이 첨단 스마트폰의 능력을 활용하는, 이런 분석 작업의 모바일화로 기업들은 고객이나 협력업체와 실시간으로 소통할 수 있는 능력을 보유할 수 있게 되어 서비스를 개선하고 생산성을 제고할 수 있다.

이런 추세는 스마트폰의 그래픽 정보 표시 성능이 개선되고 BI 시각화를 더 잘 처리할 수 있는 직관적인 그래픽 인터페이스의 등장으로 가속화되고 있는데, 프라사드는 “모든 엔터프라이즈급 기업들이 모바일의 길로 접어들게 될 것”이라고 강조했다.

 

관심을 끌고 있는 모바일 BI

정확하게 말하자면, 모바일 BI의 채택이 주류로 자리잡은 지는 꽤 되었다. 2년 전, 애버딘 그룹의 분석가인 데이비드 해치는 휴대폰 상에서 BI를 사용할 수 있게 해주는 모범 사례를 살펴보는 보고서를 작성했다.

그 당시, 비록 78%의 응답 기업이 관심을 가지고 있다고 응답하기는 했지만, 애버딘 그룹의 설문에 응답한 기업 중 겨우 17%만이 BI 데이터를 휴대용 전화기로 전달하고 있다고 응답했다. 같은 시기에, 몇몇 BI 공급업체들이 자사 제품의 모바일 버전을 소개했다.

그런데 경기 침체가 닥쳤고, 그로 인해 모바일 BI 제품 개발과 마케팅에 대한 투자가 주춤한 것이다. 하지만 경기 침체도 모바일 기기의 확산에는 영향을 주지 못했으며, 특히 아이폰이나 아이패드, 그리고 여러 종류의 안드로이드 폰 등에 대해서는 더욱 그랬다. 해치는 이런 새로운 모바일 하드웨어 기기는 마침내 BI의 복잡한 사항들을 처리할 수 있게 되었다고 설명했다.

기업들은 적극적으로 대응하고 있다. 2010년 5월의 애버딘 설문에서, 응답 기업의 23%가 현재 모바일 BI 애플리케이션이나 대시보드(Dashboard)를 배치하고 있다고 했으며, 또 다른 31%는 내년 중에 어떤 형태로든 모바일 BI를 구현할 계획이라고 밝혔다.

 

사용자들이 모바일 BI를 요구

애버딘의 모바일 분석가인 앤드류 보그는 기업들이 모바일 BI에 열중하는 이유에 대해  “기업들에게 실시간 의사결정, 운영상의 효율성, 유연한 작업 흐름을 제공하는 동시에 고객들에 대한 대응성도 개선해주고 있다”고 설명했다.

현장에서 작업하는 직원에게 이런 이점을 제공한다는 점이 라이프 테크놀로지스의 마음에 들었으며, 여러 부서 내부의 사용자 요구가 모바일 BI를 전략 목록 최상위로 올려 놓은 것이다.

이런 요구에 부응해 프라사드는 아키텍처팀에게 SAP 비즈니스 오브젝트(Business Objects)와 IBM 코그노스 BI 시스템의 데이터를 직원들의 블랙베리와 아이폰에 전달할 수 있는 방법을 모색하라고 지시했다.

아키텍처팀은 여러 가지 소스에서 BI 데이터를 받아 아이폰이나 아이패드 친화적으로 만들어주는 멜모(Mellmo Inc.)의 Roambi를 제안했다. 프라사드는 자신의 팀에 속해있는 아키텍트와 개발자에게 Roambi를 사용해 라이프 테크놀로지스 영업사원들에게 중요한 2가지 보고서인 판매 할당 보고서와 일일 영업 보고서를 개발하도록 지시했다.

프라사드는 “나는 CIO에게 그 결과를 보여주었고 CIO는 흥분했다. 그래서 우리는 그걸 일부 고객들에게 보여 주었으며, 고객들도 덩달아 흥분했다”고 설명했다.

라이프 테크놀로지스의 코그노스 데이터웨어하우스에서 추출한 일일 영업 보고서를 보여주는 시험 버전의 시스템이 아이폰을 소유하고 있는 약 50명의 영업 사원들에게 올 봄에 배포되었다. Roambi는 블랙베리 상에서는 동작하지 않아서, 프라사드의 팀은 유사한 기능을 영업 부서의 블랙베리 사용자에게 전달하기 위해 코그노스 모바일 버전을 사용할 계획이다.

프라사드는 이미 자신의 팀에게 전 세계 창고 보고서 같은 회사의 다른 부분에 대한 애플리케이션에 대한 작업을 지시했으며, 특히 BI에 중점을 둔 라이프 테크놀로지스의 전체 모바일 전략을 고안하기 위해 모바일 개발 아키텍처팀을 구성했다.


공항 데이터의 비상

라이프 테크놀로지스가 모바일 BI 초보라면, 프라포트(Fraport AG)는 경험이 풍부한 베테랑이라 할 수 있다.

독일의 프랑크푸르트 공항을 비롯하여 몇 개의 다른 공항을 운영하는 프라포트는 BI 프로젝트를 6년 전에 시작했다. 초기 목표는 공항 주변의 데이터, 즉 항공기 이착륙, 보안 검색대에서의 대기시간, 그리고 연착 사유에 대한 데이터를 직원들에게 하루 24시간 5분 간격으로 제공하는 것이었다.

2008년, 프라포트는 이 데이터를 모바일화해 유럽에서 3번째로 바쁜 공항의 운영 및 고객 관계 담당 관리자 약 100명에게 전달했는데, 2009년에는 이 공항에 5,000만 명 이상의 승객들이 다녀갔다.

현재 약 800명의 직원이 자신들의 전화기를 통해 SAS의 BI 시스템에 있는 정보에 액세스할 수 있다. 프라포트의 업무 시스템 담당 부장인 디터 슈타인만은 “관리자들이 실제 상황에 대한 어떤 실질적인 정보를 얻을 수 있게 되면, 더 나은 의사결정을 하는데 도움이 된다”고 강조했다.

예를 들면, 2010년 5월까지, 프랑크푸르트 공항에서 68%의 항공기가 제시간에 도착했다. 하지만, 이는 32%의 항공편이 제시간을 맞추지 못했음을 의미한다. 연착 이유를 협의하기 위해 항공사와 미팅하는 관리자는 특정 항공편에 영향을 주는 지연 사유에 대한 데이터를 찾기 위해서 사무실로 돌아와야만 했다.

이들은 대개 미팅에 노트북을 가져오지 않지만, 블랙베리는 가지고 있다. 모바일 BI의 도입으로 이제는 이런 기기를 이용해서 항공기 자체가 문제를 일으켰는지의 여부를 포함하여 어떤 일로 연착이 되었는지를 즉각 알 수 있게 된 것이다. 바로 답을 알 수 있다는 것은 정보를 찾기 위해 멈춰있는 동안 관리자들이 줄줄이 대기할 필요가 적어졌기 때문에 문제를 더 빨리 해결할 수 있음을 의미한다.

슈타인만은 SAS 9의 데이터를 블랙베리 플랫폼으로 전달하기 위해 작업한 것은 그리 많지 않다고 밝혔다. 일부 XML 코딩과 스타일시트는 대학원생 인턴이 박사 논문의 일환으로 프로젝트를 다 처리했다. 슈타인만은 작업이 “빨랐고 별로 비싸지도 않았다”고 설명했다. 프라포트는 이 인턴을 나중에 정식 직원으로 채용했다.

BI 시스템의 모바일 버전에 대해서, 프라포트는 사용할 수 있는 정보의 양을 제한할 필요가 있었으며, 데스크톱 버전처럼 많은 그래픽은 사용할 수 없었다. 그렇지만, 관리자들은 이를 수용했다. 관리자들은 이것을 고객들에게, “ 당신이 필요로 하는 정보는 여기, 바로 여기 있으며, 그것도 컬러로 보인다”고 보여주기 위한 수단으로 사용하고 있다. 슈타인만은 애플리케이션이 보기도 좋고 동작도 잘해서, IT 부서의 자랑거리이기도 하다고 덧붙였다.

수많은 모바일 BI 앱 등장 예정

프라포트의 애플리케이션은 더 큰 현상이 될 가능성이 다분한 전조라고 볼 수 있다. IDC의 분석가 스테픈 드레이크는 “앞으로 영업 인력과 현장 서비스팀을 위한 수많은 앱을 보게 될 것”이라고 말했다.

드레이크는 블랙베리가 여전히 BI용으로 사용될 것이지만, 더 많은 기업들이 아이패드 태블릿이나 모바일 기기 상에서의 분석 기능을 수행을 더 쉽게 해주는 고해상도 화면을 가지고 있는 HTC Evo 같은 강력한 신형 전화기에서 사용할 수 있는 애플리케이션을 개발하게 될 것이라고 지적했다.

한편, 소프트웨어 공급업체들은 최근에 몇몇 대형 BI 업체들이 이 분야에서 움직임을 보임으로써 나름대로의 모바일 BI 노력을 새로이 하고 있다. SAS는 4월에 모바일 대시보드를 추가했으며, SAP는 최근에 아이폰과 아이패드용으로 자사의 BusinessObjects 익스플로러 모바일 버전을 선보였다. IBM은 6월에 Cognos Go Mobile BI 제품에 대한 한껏 치장한 새로운 인터페이스를 발표했다.

게다가, 이 분야는 델 마(Dell Mar)나 리프팩터같은 신생업체도 참여하고 있다. 리프팩터는 기업용 BI 애플리케이션을 스마트폰에서 제공할 수 있는 클라우드 기반의 서비스를 운영하고 있다.

네트워크 기술 역시 이런 추세를 받쳐주고 있다고 지적했다. “모바일 BI를 2G 네트워크를 통해서 사용할 수는 없기” 때문이다. 드레이크는 “지금까지는 이런 걸 보고 나서, ‘데모는 보기 좋은데, 정말로 이걸 사용할 수 있는 건가?’라고 말하곤 했다. 하지만 이제는 그 답이 에스이다”라고 강조했다.

고객 서비스 개선을 위한 데이터 모바일화

프로스트 앤 설리번의 분석가인 사미르 삭팔은 모바일 분석이 금융 부문 같은 틈새 시장을 벗어나서 주류 제품으로 자리잡을 것으로 보고 있다. 삭팔의 말에 따르면, 모바일 분석은 기업이 2가지 일을 하는데 도움을 주는데, “더 신속한 의사결정과 고품질의 고객 서비스를 주도”하는 것이 그것이다.

존슨 컨트롤즈(Johnson Controls Inc.)의 부장인 로버트 C. 와이즈먼에 따르면 더 나은 고객 지원에 대한 갈망이 모바일 BI의 채택을 주도했다.

존슨 컨트롤즈는 자사의 구역/지역 관리자가 미국 주요 유통매장의 청소용역 서비스를 감사하고 관리하는데 도움을 주기 위해 설계된 블랙베리 기반의 BI 도구를 시범 운용해오고 있다. 존슨에는 소매점의 점포 로비 그리고 바닥과 창문의 청결성 같은 항목을 추적하는 월간 감사 용도로 사용하는 일련의 벤치마크가 있다.

이전에는, 존슨의 구역 관리자 72명과 6명의 지역 운영 관리자가 수작업으로 이 감사 작업을 해서, 점포를 걸어 다니면서 점수를 적어 두었다가 이전에는 Livelink라고 불렸던 오픈 텍스트(Open Text Corp.)의 엔터프라이즈 콘텐츠 관리 시스템을 사용해 노트북에서 데이터를 입력했다.

어떤 점포가 특정 표준에 도달하지 못하면, 관리자가 다시 돌아가서 과거의 감사기록을 찾아서 점수 상에 차이가 있는지를 확인해야만 했다. 그 다음에는 후속 감사를 실시해서 문제가 해결되었는지를 확인하고, 또 다시 종이에 결과를 기록했다가, 노트북에서 데이터를 입력하고 나서 점수를 확인하곤 했다.

지난 4월 개시된 파일럿 프로그램 하에서는, 6명의 구역 관리자가 점포를 방문하는 동안에 자신들의 블랙베리에 직접 데이터를 입력할 수 있다. 해당 데이터는 액츄에이트(Actuate Corp.)의 오픈소스 이클립스 BIRT(Business Intelligence and Reporting Tools) 시스템을 통해서 오픈 텍스트의 콘텐츠 관리 프로그램에 입력되고, 웹알로(Webalo Inc.)의 모바일 대시보드를 통해서 표시된다.

관리자가 입력한 데이터는 자동적으로 오픈텍스트로 송신되고, 그렇게 한 다음에는 해당 점포의 이전 감사 점수나 전국 체인의 다른 점포의 점수와 비교할 수 있다. 와이즈먼은 “우리는 점수를 단일 점포, 구역, 지역 그리고 전국적인 관점에서 볼 수 있다”고 설명했다.

소매점의 관리자도 청소용역 서비스 공급업체가 감사를 통과하기 위해서 꼭 필요한 기본 점수를 얻으려고 가장 최소의 작업만을 하고 있지는 않은지를 살펴보기 위해서 점수를 열람할 수 있다. 예를 들면, 점포 입구의 통로는 청소하기가 어렵지만, 해당 구역에서 낮은 점수를 받았다는 것 그 자체만으로는 전체 감사를 망치지는 않는다. 그리고 이는 청소용역 업체가 이런 사실을 알게 된다면, 출입구 통로를 청소하는 데 덜 주의를 기울일 가능성도 있음을 의미한다. 이제 존슨의 관리자는 입구 통로가 일관성 있게 낮은 점수를 받았는지의 여부를 즉시 확인할 수 있게 되어, 그런 직무태만을 해결하기 위한 조치를 취할 수 있다.

현재 파일럿 중인 시스템은 원했던 것처럼 동작했으므로, 존슨 컨트롤즈는 올 8월에 최우선적으로 모든 구역 관리자, 지역 운영담당 관리자 그리고 청소용역 서비스 기업의 지역 담당 책임자들에게 배포할 예정이다.

배포 후, 와이즈먼의 목표는 모바일 앱의 기능을 확장해 관리자에게 청소용역 작업에 대한 보고서뿐만 아니라 상품 진열과 외관에 대한 보고서를 제공하며, 궁극적으로는 공조설비(HVAC) 시스템, 배관 등을 포함하여 점포 전체의 환경 조건에 대한 보고서까지도 제공할 수 있는 “초강력 대시보드”로 탈바꿈시키는 것이다.

와이즈먼은 애플리케이션을 작동시키기 위해서 존슨이 많은 돈을 지출할 필요는 없다고 설명했다. 현장 관리자들은 이메일 용으로 이미 블랙베리를 가지고 있으며, 회사는 이미 오픈 텍스트를 사용하고 있다. 단지 웹알로 대시보드만이 새로운 것인데, 와이즈먼은 100명 이상에 대한 서버 라이선스가 오픈 텍스트 개발 비용에 비하면 “사소한” 것이라고 덧붙였다.

와이즈먼은 관리자가 마치 노트북에서 작업하듯이 모바일 전화기 상에서도 원하는 데이터를 조작할 수 있는 것은 아니지만, 시간이 가면 해결될 것으로 보고 있다. 와이즈먼은 “나는 5~10년 후에는 지금과 같은 형태의 노트북이 있을 거라고 생각하지는 않는다”며, 블랙베리가 애플리케이션 플랫폼으로서는 한계가 있다고 인정하면서도, 그는 “이것들은 전화기가 아니라, 포켓용 컴퓨터”라고 강조했다.

모바일 BI의 커다란 과제 중 한 가지는 그 영향을 측정하기가 어려울 수도 있다는 것이다. 슈타인만은 프라포트의 애플리케이션을 통화 가치로 환산할 수 없었다고 말했다. 사용되고 있다는 사실이 아마도 그것이 성공적인 도구라는 최고의 지표가 된다는 것이다.

프라사드 역시 “이런 애플리케이션은 무형적 이점(Soft Benefits)을 제공한다”고 동의했다. 하지만 프라사드는 이런 비정략적인 ROI에도 불구하고, 모바일 BI 애플리케이션이 생산성에 대한 부정할 수 없는 추진 동인이 될 것이라고 말했다.


출처 : http://www.idg.co.kr/newscenter/common/newCommonView.do?newsId=62240

===============================================================================================================

글쎄....
Information Consumer 들에게는 유용할 수 있지만.
얼마나들 원하려나?
사실. 지금 국내 실정을 보자면.. BI에 접속하는 사람 자체가 한정적인데다가,
Mobile Office 환경 자체가 아직은 열악한 편이라.
Global 에서는(구주/미주) 수요가 있을수도..

뭐. 장기적으로는 맞는거긴 하겠지만.

Mobile BI의 플랫폼 자체보다도. 개인적인 생각으로는 컨텐츠가 중요..

사실. App.은 SAP이나 Software Vendor에서 내놓으면 끝인거고.


Posted by AgnesKim
먹고살것2010. 8. 4. 11:19

BI vendor to transform iPad into a business tool

MicroStrategy's new analytics app for iPad, iPhone could benefit frontline workers
8/3/2010 9:10:00 AM By: Nestor Arellano
 

Toronto -
A business intelligence software maker is hoping to transform the iPad from a consumer gadget to a valuable business tool.


MicroStrategy Inc., based in McLean, Va., rolled out its mobile BI (business intelligence) application for Apple Inc.'s popular iPad and iPhone devices.

The app takes advantage of touch technology in the two Apple devices, said Jim Broadley, MicroStrategy Canada's country manager.

MicroStrategy already has a mobile BI app for Research in Motion's BlackBerry devices, and Broadley said his company is looking to create the same for other popular smartphones, such as the Google Android.

The iPhone and iPad (with its larger screen) are ideal devices for mobile BI applications, according to Sanju Bansal, executive vice-president and chief operating officer at MicroStrategy. He said the bigger display and multi-touch interface offered by these devices enable users to quickly access and view BI dashboards on the go.

A small screen smartphone would make viewing data difficult, while a laptop is sometimes cumbersome to carry, Bansal noted.

The iPad sidesteps these obstacles, the MicroStrategy executive noted.

Its light weight makes it easily portable, while the bigger screen allows for easy data viewing, MicroStrategy's latest mobile BI offering includes features such as: Automatic user role identification Auto-location detection through GPS data and integration with Google Maps Bar code scanning features using the iPhone's camera (Apple still has to produce an iPad with a camera) Integration with e-mail, SMS and social media Apart from multi-touch gestures native to the iPhone and iPad, MicroStrategy has also included other gestures that let users dig up additional data related to an entry, said Bansal.

MicroStaregy's Mobile BI prices range from $550 to $2,000 per user. The company is also offering customers 25 unrestricted licenses at no additional charge.


Business intelligence is breaking out from its corporate confines, according to Nigel Wallis, a research director at Toronto-based IDC Canada Ltd.

The growing interest in mobile BI is an indication of this, noted Wallis, who specializes in mobile strategy.

He said IDC has been tracking this phenomenon, and will soon release the results of its study.

"Traditionally, BI was associated with senior management and super users, who needed to see the big picture. Today more organizations are feeding that data down the corporate chain to lower-level management," said Wallis.

"Mobile BI apps have the potential to push that even further down to frontline workers."

Moving forward, he said, BI will be ported to mobile devices of sales personnel, service technicians, inspectors or employees who have direct contact with customers.

However, the type of BI data consumed by frontline workers will be very different from that gleaned by senior management, the IDC analyst observed.

"There will be no need for the deep analytical functionality demanded by super users, who make high-level decisions." Instead, frontline workers will want instant access to customer data, warehouse or delivery information, said Wallis.

The iPad, he said, would be the ideal device for such scenarios as it combines portability with ease of use.

The device's large screen makes viewing charts and graphs much simpler than it would be on a smartphone.

Yet the tablet is lighter, and has a smaller form factor than a laptop.

The absence of a real keyboard may take getting use to, but Wallis noted that many mobile personnel do not do much traditional typing anyway.

He said the iPad's touch interface is ideal for flipping through pages in a BI application or moving across data.

Having instant mobile BI could be a game changer for many small firms, he said.

"Imagine a sales person being able to determine instantly if the warehouse can cover an emergency order and then executing the needed transaction without going back to his computer."

A mobile BI tool could also be configured to help sales people quickly prioritize multiple client calls based on categories such as: time of call, route, previous engagement, or potential profitability.



http://www.itbusiness.ca/it/client/en/home/News.asp?id=58607&cid=6

Posted by AgnesKim
먹고살것2010. 8. 4. 11:17

Operational BI: next generation of business intelligence

Traditional business intelligence (BI) has time and again proved its usefulness as a tool for providing information around strategic planning and high-level decision-making.

However, there is an increasing need for BI to be extended across the wider enterprise to incorporate operational data and allow for accurate operational decision-making.

Most organisations now employ some form of BI, and this is no longer a source of significant competitive advantage. However, operational BI is emerging as a tool to once again create a real competitive edge for organisations, empowering executives, line managers and other business professionals across the enterprise by leveraging the power of information at the operations level.

By utilising operational data as part of the BI arsenal, organisations are able to gain insight into near real-time data about key performance parameters that affect order volumes, inventory levels, employee productivity etc, thus allowing for more effective decision-making.

However, while the advantages of operational BI may be numerous and clear, proper implementation of such a solution is complex and poses many challenges to the organisation.

In order to harness BI on an operational level it is necessary to have direct input into production and operations databases, but the very act of querying these databases has an impact on the information contained in the databases themselves. It is vital to have an audit trail of information coming in and going out, but this can impact the database as well as processing time.

It is also not possible to query databases while users are conducting transactions on them. Yet, for this data to be useful, operational BI needs to be conducted during business hours so information is current and up to date. On top of this, for operational BI to be effective, data needs to be updated far more frequently than is necessary for traditional BI. This information needs to be as up to date and as current as possible if it is to be of any use. These challenges pose something of a conundrum.

One way to get around this problem is to set up incremental updates, which simply extract and report on data that has changed since the last report, only moving across data that has changed and automatically creating an audit trail. This ensures that updates are received as things change, while also ensuring only relevant data is processed so that querying does not take up too much processing time or affect users on the database.

Another challenge is the need to draw data from a wider range of sources than traditional BI, which makes the need for the coveted "single view" of the organisation even more vital to avoid duplication and wasted processing time.

The ideal scenario is to achieve quick querying and reporting with the lowest possible impact on production servers. Being creative in how data is extracted from production servers can go a long way towards assisting with this, as can being very specific with the information that is pulled to reduce wasted time on unnecessary information.

Unfortunately, no matter how clever an organisation gets with incremental updates and the like, the reality is that an investment in technology is needed, such as bigger servers to cater for ever growing volumes of data and queries, as well as faster processing equipment. The expectation is for instant reports and fast response times, and if the system does not deliver this then people will not use the system.

Another aspect towards creating and implementing successful operational BI is to conduct proper business analysis. The traditional gap between business and IT needs to be closed for such an initiative, as IT needs to work closely with business to understand and identify data and business requirements.

Business also needs to align with IT to understand and realise the benefits of this to the organisation and any sort of technological implementation.

One of the benefits of utilising operational data in business intelligence processes includes improved decision-making time, as critical decisions can be made based on facts on the fly, as changes happen, enabling organisations to take advantage of fast-changing markets.

Operational BI can also help frontline workers and operational managers access relevant information more quickly, improving efficiency. Operational BI can also reduce costs, improve proactive decision-making and provide significant competitive advantage.

Business intelligence has long been cited for the benefits it can deliver to organisations, and this next-generation BI, dealing with operational data, is no different. Like any new technology it requires capital investment, but in the long-term the benefits far outweigh the expenditure, and can help to move business forward into the era of real-time decision-making ability.


http://www.itweb.co.za/index.php?option=com_content&view=article&id=35474:operational-bi-next-generation-of-business-intelligence&catid=69&Itemid=58

Posted by AgnesKim
Technique/SAP BO2010. 7. 25. 01:31


 

SAP BusinessObjects BI Solutions for SAP ERP
Ingo Hilgefort SAP Employee
Business Card
Company: SAP BusinessObjects
Posted on Jul. 06, 2010 05:34 PM in Business Intelligence (BI), Business Objects, ERP

 

Are you interested to learn more about, how you can use SAP BusinessObjects BI Solutions in combination with your SAP ERP system ?

 

Most people will be aware that Crystal Reports is able to leverage your SAP ERP or your SAP All-in-One system as a data source. You can find the details here.

 

In addition you can also enable Xcelsius but using Live Office as a middle layer and in that way you are able to create dashboards on top of your ERP system. For a complete walkthrough you can take a look here.

 

But what if you are interested in leveraging Web Intelligence or SAP BusinessObjects Explorer in combination with your SAP ERP system and you have not implemented SAP BW as your datawarehouse solution ?

 

In such a situation you can leverage SAP Rapid Marts.

 

SAP Rapid Marts are best practice blueprints that deliver ETL mappings and initial reporting content for enterprise applications like SAP ERP, PeopleSoft, or Oracle EBS. SAP Rapid Marts are not replacing a datawarehouse solution but you might be in a situation where a complete datawarehouse solution is not required, but instead you require a simple and fast implementation based on a data mart approach which allows you to quickly gain insight into your data.

 

You can find further details on the available Rapid Marts for SAP here:

 

 


 

 

I hope the material helps you to understand the different options that are available to you to enable a complete SAP BusinessObjects BI suite for your SAP ERP system.


http://www.sdn.sap.com/irj/scn/weblogs?blog=/pub/wlg/19974

Posted by AgnesKim
먹고살것2010. 5. 27. 14:05

Lessons From a Business Intelligence Software Breakdown

May 26, 2010
By

Larry Marion



In more than 15 years of interviewing senior executives about their business intelligence software implementations, I can’t recall hearing about a more badly mangled environment than the tale I am about to tell. And I can’t recall meeting a more candid IT executive than Dawn Conant, director of business intelligence at Beckman Coulter, life sciences instrument maker.

Conant publicly disclosed the company’s trip into a BI rabbit hole, and subsequent escape, at the April 2010 Business Intelligence Summit organized by research firm Gartner.

Beckman has $3.3 billion in annual revenues and 12,400 employees, but beginning in 2001 it created a business intelligence software monster appropriate for a company 10 times its size. Astoundingly, business units created more than 900 Business Objects universes (essentially data marts).

Worse yet, approximately two thirds of them were running directly against a single global Oracle ERP instance or other online transaction processing system. There was no data warehouse to protect the production environment from the analytical sandbox, so performance was awful.

User departments were running amok amid the data marts – more than 1,500 decentralized report writers had created more than 4,500 different canned reports. But only 1,200 reports were unique, Conant noted.

Conant’s summary of the situation by 2007: “It was complete chaos.”

Beckman’s CEO and CFO called a halt to the madness in late 2007, just as the IT department was trying to clean up the mess. The top execs had heard from Oracle about the prebuilt analytics approach that the software vendor offered and they bought into the vision.

It would save money and streamline the IT organization to use the Oracle Business Intelligence Enterprise Edition, accessing a data warehouse pulling data from the Oracle ERP system.

For the past several years Conant and her team have been implementing a large number of Oracle prebuilt analytics applications to support the following business functions:

• Customer and Product Profitability
• Inventory Management
• Order Management and Order Fulfillment
• Service (custom build)
• Supply Chain
• Finance
• Human Resources
• Quality Assurance (custom build)

All of them went live in early May, with approximately 300 reports. By the end of the year the number of reports is expected to rise to roughly 600.

Conant and a team of 120 people (divided equally among IT, business, and consultants) implemented a powerful business intelligence software environment complete with validated and authenticated data, providing important insights about product profitability by region, customer, or other metric.

In the process her team replaced a fragile and expensive infrastructure with one that was more stable and cost efficient. And she learned a lot of lessons about pre-built analytics apps:

• The rule of thumb frequently provided by the vendors of prebuilt apps is that you should be able to use at least 80% of what is in the box and only have to customize 20% or less. It will come as no surprise that her first piece of advice is to not bank on that level of usability. Instead, carefully match up the code you get versus the functionality you need. “Significant analysis of the code,” is required before you make a commitment, she noted at the event.

• This need for analysis is especially true for the extract, transform and load (ETL) portion of a data warehouse and analytics infrastructure. As Conant points out, ETL is roughly 80% of the implementation challenge and cost, so if the out-of-the-box analytics provides at least 50% of your data sourcing code, it is probably worth it.

• Make sure your business users, and especially your experienced report writers, are part of the code analysis team. The IT department won’t know where all the source data problems are, so you better have people on the assessment team who know the black holes.

• Modifying those prebuilt apps is not a job for neophytes—only let experienced implementers touch that code.

• Building your environment also takes experience to avoid serious mistakes, not the least of which is horrible performance problems. “We didn’t know what we had purchased,” Conant acknowledged to explain the challenges users initially experienced with the performance of many of the reports.

• Report development centralization was implemented to ensure appropriate levels of control. Rather than 1,500 distributed report writers, no more than 100 people will be given writer access to the system. And they will be extensively trained. Validated reports conforming to SOX and other compliance mandates become standard operating procedure, not a wish list item.

• Everyone knows managing data quality is tough, but typically the task is underestimated. Validating and testing data was “extremely hard,” she adds.

• I’ve been hearing IT executives lament about the inadequate amount of change management they included in their implementation plans since they implemented ERP systems to avoid the Y2K scare 10 years ago. Conant says there is still a substantial change management task ahead at Beckman. Taking custom developed reports away from the users that developed them and replacing them with flexible, pre-built reports that are centrally developed is on her plate for this year.

As others have noted, selling the best practices of the pre-built apps is one way of persuading managers to accept the new way of life. Top executives will support this effort because it gives them the opportunity to implement strategy and execution throughout the enterprise.

Other experts offer other cautions about pre-built business intelligence analytics:

• Pre-built apps makes sense for support functions, notes Christian Kirschniak, Global SAP Solutions Leader, Business Intelligence Solutions, HP. Enterprises need to differentiate their core capabilities and shouldn’t consider a generic approach for those processes. HR or IT is not a core competency, so pre-built analytics makes sense in those areas, he added.

• “If analytical packaged apps don’t start with a basic architecture for exploring data, [nor a] a preconceived mix of fixed tables and schema with a presumed approach to reporting, then you’ll run into expensive customizations,” warns Dyke Hensen, Senior Vice President, Product Strategy of PivotLink.

And Dyke should know, his 20-plus years in the Business Intelligence software business includes stints at pre-built analytics firms such as SPSS, Hyperion and Arbor.

The bottom line on pre built analytics: They deliver less than you hope but are usually better than starting from scratch.

 

http://itmanagement.earthweb.com/entdev/article.php/11070_3884316_2/Lessons-From-a-Business-Intelligence-Software-Breakdown.htm
Posted by AgnesKim
먹고살것2010. 5. 25. 13:11

Can SAP Deliver IT Simplicity?


Apps vendor talks real-time; customers hear "removing IT infrastructure."



There's no doubt that SAP customers are excited about the in-memory and column-store database technology announced at last week's SAPPHIRE event. But are they hearing only what they want to hear from SAP? And if that's the case, when can the company deliver what they are really after?

SAP put the emphasis of its SAP Business Analytic Engine announcement on delivering what it called "real, real-time" analysis. But among the SAP customers InformationWeek canvassed, the bottom-line takeaway on the "New DB" described by Chairman Hasso Plattner was that it could simplify IT environments by eliminating business intelligence infrastructure.

"Most of what we look at through BI is just data that's in SAP R3 put in a different place so that we can report on it quickly and efficiently," said Mike O'Dell, CIO at Pacific Coast Building Products. "If suddenly I can do that same reporting on a live system because it's in-memory and it's fast, then I don't need the infrastructure for BI."

An executive at Kraft Foods had much the same take. "The real value is in removing complexity," said Tom Zavos, senior director of Business Intelligence at Kraft. "I won't have to do ETL anymore, and I won't need a separate Business Warehouse database or additional appliances like the [SAP] BW Accelerator."

Customizing apps can result in code sprawl, architectural chaos and brittle systems

Best Practices For A Robust App Architecture

In fact, Zavos and others told InformationWeek that the desire for simplicity trumps the demand for real-time analysis. "We do have situations where people want real-time insight, but that's more often the exception," Zavos said. Customer-facing users like salespeople might appreciate real time, he added. But he questioned the need for marketing, procurement or manufacturing personnel to go beyond daily updates.

In the six-step roadmap outlined in his keynote address, SAP's Plattner said the New DB/SAP Business Analytic Engine would first serve as a sort of turbo charger alongside existing application and data warehouse infrastructure. This "no risk" approach offers the advantage of not ripping and replacing existing systems, he said. Workloads will be moved over to the new environment gradually, he said, and aging legacy systems decommissioned over time.

But if simplicity is what customers are really after, how quickly can companies hope to get to the latter stages of SAP's roadmap? It's too early to say, co-CEO Hagemann Snabe told InformationWeek. He did allow, "it will start in analytics, and then you'll see us building more advanced optimization applications like planning."

The response at least suggests that customers won't have to wait years to consolidate BI infrastructure. The real question on most customer minds is, how much will it cost?

In an interview with InformationWeek, co-CEO McDermott said questions about cost can only be answered when the product comes to market, but he noted that "by definition, it seems that removing layers takes cost out... There will be different situations for different customers, but the theme is, let's get rid of redundant IT and free up cash flow for innovation."

The bottom line is that SAP is selling consolidation as well as real-time performance. And on both fronts, there are many questions about cost, performance, storage capacity, data integration flexibility and many other details that are nowhere near being answered. Nonetheless, SAP customers like what they're hearing.

The Enterprise 2.0 Conference is the largest gathering for people ready to connect teams, and harness collective intelligence with social tools and 2.0 technologies. It happens in Boston, June 14-17. Find out more here.


출처: http://www.informationweek.com/news/software/erp/showArticle.jhtml?articleID=225000144&cid=RSSfeed_IWK_All

----------------------------------------------------------------------------------------------------------------
BW 도, BIA도 버리겠다는건가..
BO로 가겠다는건가..
의도적으로 자꾸 BO를 키우는게 보이긴 하지만.. 음..
real time analysis..
요즘은 뭐가 맞는건지 잘 모르겠군..
이번 사파이어에서 나온 roadmap을 구해서 좀 봐얄거 같은데..
누구한테 구해봐야 하나.. 킁.


Posted by AgnesKim
먹고살것2010. 5. 22. 12:47

EXPLORE YOUR BUSINESS ON THE GO

SAP BUSINESSOBJECTS EXPLORER FOR IPAD AND IPHONE PROTOTYPE – 19 May, 2010

What's new? SAP BusinessObjects Explorer for iPAD 

 

With the SAP BusinessObjects Explorer for iPhone and iPAD prototype, insight into your business is never more than a few flicks away. Through simple and fast search, intuitive data exploration and visualization, and high performance and scalability, SAP BusinessObjects Explorer allows you to answer business questions "on-the-fly" and regardless of where you are. Whether you are visiting a customer and need to see what orders they've placed, at a café dreaming up a new marketing program, or in the board room discussing this quarter's revenues, SAP BusinessObjects Explorer for iPhone and iPad puts immediate access to all quality-decision information on the go.

    

Key Features
• Search across all data sources - Simply enter a few search keywords to find the most relevant information instantly from across all data sources
• Contextual exploration - Gain additional contextually relevant details when searching - no data model or data knowledge required
• Automated relevancy and chart generation - Work with a solution that presents the most relevant keyword search results first and automatically generates the chart that best represents the information
• High performance and scalability - Take advantage of the high performance and scalability you need for immediate answers across very large data sets
• Share your results instantly with others right from your iPhone and iPAD

    

OnDemand, OnPremise and OnDevice converge

SAP BusinessObjects Explorer for iPAD and iPhone have the ability to access data both OnPremise or OnDemand. With the OnDemand connectivity, you can explore, monitor and share your personal data online. To do so upload your personal data using this URL: https://bi.ondemand.com , then use the "BI OnDemand" Tab in the settings section of the application to Explore your data - Get a video of the new features here.

 


FIND OUT MORE

To learn more about SAP BusinessObjects Explorer and what it can do for your company, visit: http://www.sap.com/solutions/sapbusinessobjects/large/business-intelligence/search-navigation/explorer/index.epx

Click here for a demo video


For questions and feedback about the SAP BusinessObjects Explorer for iPhone and iPAD prototype, please email us at innovation_center@sap.com

 


REQUIREMENTS

Compatible with iPAD, iPhone and iPod touch
Requires iPhone OS 3.2 or later

In order to use the SAP BusinessObjects Explorer for iPhone and iPAD prototype with your business data, you must have a deployment of SAP BusinessObjects Explorer SP1 or SP2. The SAP BusinessObjects Explorer for iPhone and iPAD prototype application available on the Apple Store connects to SAP demo servers and provides a sample set of data for you to try out.

Language:  English

 


ENJOY!

We hope you'll use this prototype to discover how SAP BusinessObjects Explorer can change the way people make decisions using insight delivered via their iPhones and iPAD. Please provide us feedback to make sure we know how you're using this and things you would like to see it do in the future.Also stay connected with SAP BusinessObjects innovation center RSS feed or Twitter feed.

Please remember, this is a prototype only and NOT for use in production environments.

 


Download SAP BusinessObjects Explorer for iPhone prototype

출처 : http://www.sdn.sap.com/irj/boc/innovation-center?rid=/webcontent/uuid/706569f0-989c-2c10-5ca4-e945dc3368e3

Posted by AgnesKim
Technique/SAP BW2010. 5. 21. 12:11

Changing BI variable parameters
Andrey Uryukin
Business Card
Company: advantech
Posted on May. 20, 2010 11:50 AM in Business Intelligence (BI)

 

Introduction

Once a variable has been created, the definition of some parameters (Processing By, Variable Represents and some others) can't be modified within Bex Query Designer or IP Modeler.

 

Goal

This blog describes how to change some variable parameters after it has been created and saved.

 

Business scenario

Let us consider a scenario where we have a variable represented by single value, but according to some business process, we need this variable to be represented by multiply single value instead of single value.

As mentioned above it is not possible to modify some parameters within Bex Query Designer or IP Modeler after a variable has been saved.

image

 

SAP recommended way to solve this issue is to delete this variable and create a new one with suitable parameter.

But what should we do if this variable already has been used within 100 queries ?

In this case we can use not recommended, but proper way - change these parameters directly via RSZGLOBV table.

 

Implementation

Go to TC SE16 -> Table RSZGLOBV and enter variable's technical name in Variable Name (VNAM) field.

When a result has been retrieved (it should be 2 records for one variable - M and A versions) select A version and press Change button (F6).

image

 

In the next screen it is possible to change any parameter of variable. In our case we want to change Variable Represents (Select parameters in RSZGLOBV table) parameter.

Change the content of Select parameters (VPARSEL) field from P to M and save the changes.

image

 

Do the same for M version entry in RSZGLOBV table.

Now we need to generate all the queries that use this variable.

Go to TC RSRT - > Environment - > Gen. Queries Directly.

image

 

Type info provider technical name with the queries to be generated and press Execute (F8).

image

 

Andrey Uryukin BI/IP Consultant at Advantech (IL)


출처: http://www.sdn.sap.com/irj/scn/weblogs?blog=/pub/wlg/19284%3Futm_source%3Dtwitterfeed%26utm_medium%3Dtwitter%26utm_campaign%3DFeed%253A+SAPNetworkWeblogs+%2528SAP+Network+Weblogs%2529
Posted by AgnesKim