8 Business Intelligence Projects examples 2018 EN+NL, business intelligence projects for students, business intelligence project documentation, business intelligence project plan, business intelligence project management templates, business intelligence project ideas, business intelligence project topics, business intelligence projects download No ratings yet.

Business Intelligence Projects examples: 8 Business Intelligence Projects examples 2018 EN+NL, business intelligence projects for students, business intelligence project documentation, business intelligence project plan, business intelligence project management templates, business intelligence project ideas, business intelligence project topics, business intelligence projects download

Business Intelligence Projects examples 1. BI projects are primarily business projects, not IT projects.
This is undoubtedly still true – and even more true today. Eight years ago we recommended that subject matter experts (SMEs) should be involved during the requirements and testing phases of a project. Today, the SMEs are among the primary members of the delivery team involved from day one. We do a lot more prototyping and even faster project iterations than we did eight years ago. Projects move so fast and requirements change so quickly today, that we recommend 100% involvement from business experts throughout the entire project, otherwise the project will drag waiting on their input.

Business Intelligence Projects examples
Business Intelligence Projects examples

Business Intelligence Projects examples: 2. Intensive IT business analyst support is required throughout the project.

This difference is still true today. We described the need for IT to be more accommodating to business analysts than typical IT projects. We find today, that IT has largely embraced this idea – and not only in BI projects, but in most projects. If anything, other types of IT projects are now done with a closer alignment to the business than they were 8 years ago. There are a lot fewer large-scale, force-it-down-their-throats IT projects now. Businesses will work around IT if that happens, and IT will get a reputation of being unhelpful. It is still a challenge for our very large clients and those in certain industries like healthcare and insurance (because they are more risk-adverse).

Business Intelligence Projects examples: 3. Requirements for BI projects are impossible to define completely in advance.
This is the most fundamental difference between BI projects and IT projects, and it is as true now as 8 years ago. Our clients who understand this are the most successful in using data as a strategic asset. For an IT project, you can completely define your needs for a network upgrade project, and can almost completely define your needs for an accounting system or a CRM system up front. Of course a company’s needs will change, but if you involve the right people, they can tell you exactly what they need.

Not so for BI and analytics projects. This is because you don’t know what the data is going to tell you until you start asking and answering questions. Your data may tell you that what you thought was important is much less important than something else. And you may discover this fact at any stage of the project.

Business Intelligence Projects examplesBusiness Intelligence Projects examples

Today, we have much better tools to allow us to change requirements throughout a project. The data discovery tools from Qlik, Tableau, and others have revolutionized how we deliver these projects. And the big vendors have followed suit with their own tools that allow fast prototyping, data profiling, and put more power in business users’ hands.

Business Intelligence Projects examples: 4. A different project management approach is needed.

This is also still true. An agile methodology is a requirement for a successful BI or analytics project. But today, we find this approach is embraced across business – not just in BI and not just in IT. We still focus on fast time-to-value – which means short iterations and confidence that a feature left out now will be incorporated into the next iteration a few weeks (or less) later.

Business Intelligence Projects examplesBusiness Intelligence Projects examples

Business Intelligence Projects examples: 5. Building the BI solution is just the beginning – extensive testing is needed.
While this is still true, the testing we do is a lot more pervasive throughout a project. We actually have shorter testing phases because we’ve done testing throughout the project. The rapid prototyping we now do allows a better understanding of the data at earlier stages of our projects which allows us (and our clients) to fix things before any dedicated testing phase.

Business Intelligence Projects examples: 6. Users are attached to their current toolset – change management is critical.
In the past 8 years, the BI & Analytics pendulum has swung away from neat and orderly “one-version-of-the-truth” data warehouses to a more chaotic world where business users have powerful tools and access to more data. As our clients embrace this business-centric, decentralized, post-data-warehouse model (even though almost all of our clients still have, and still need, a data warehouse or something that serves as the data warehouse function), the need for change management is as prevalent as ever.

Business Intelligence Projects examples: 8 years ago, change management was necessary because users liked the tools they frequently used and didn’t want to move to the new tool implemented with the data warehouses. Today, adoption rates of self-service BI tools are high because they are more intuitive and flexible to the business needs. But with powerful and decentralized analytic tools comes a need for centralized data stewardship so the company doesn’t lose the “one-version of the truth” trust in the data.

Rather than teaching new tools and managing adoption, change management today is more focused on standardizing and managing processes, master data, and access to data. Make sure that you continue to define requirements from the users themselves and then implement a similar change management strategy we talked about 8 years ago in the whitepaper.

Business Intelligence Projects examplesBusiness Intelligence Projects examples

Business Intelligence Projects examples: 7. Tight integration with existing systems and business processes.

This is absolutely still true, but now companies are less focused on the need to extract data from existing systems without affecting performance because modern operational systems and back-end databases are much better today. It’s something to pay attention to, but not a main concern.

I would, however, put a lot more emphasis on correcting the data in operational systems and even changing business processes as a result of findings during an analytics project – even during discovery or prototyping activities. We always (not almost always – always) find data quality issues and we often make recommendations to change source systems to help keep data cleaner. One simple example: changing a field from a free-form text field to a drop-down with defined options.

Business Intelligence Projects examples: 8. BI is a program, not a project.

This is as true 8 years ago as it is today. It is still what we tell our clients. It gets our clients’ attention when they ask how long it takes to finish a BI effort and we say, “you will never finish . . .” and then go on to describe that they can certainly finish a well-scoped project in as little time as a week, but for an organization to really use data as a strategic asset, they will need to put a long-term program in place. There are many more companies that realize this today than there were eight years ago. Companies even take the concept a bit further and employ a Chief Data Officer whose full-time job is to make sure that the organization is making the most of their data.

This whitepaper has helped our clients manage and execute their BI projects and set them up for success – so much so, that we still recommend it today. Even though 8 years has passed and the BI & Analytics Industry has had an explosion of software options, data nerds, and amounts of data, the fundamentals of BI listed in the whitepaper are still the same.

Use the whitepaper and these 2016 applications to approach your BI projects so you can champion a data-driven culture in your organization and see success in your analytics efforts.

Business Intelligence Projects examplesBusiness Intelligence Projects examples

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CV Mondy Holten 1-9-2018 SAP BI EN (PDF)

CV Mondy Holten 1-9-2018 SAP BI EN (doc)

Mr. Mondy Holten (05-01-1981, Haiti)

https://www.linkedin.com/in/mondyholten/

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https://mr-data.nl/microsoft-excel-dashboard-maken-in-excel-2016-tableau-power-bi-of-sap-bi-business-objects-2016-2017-2018/

 

 

Client focus BI Developer, with 8+ years experience with Business Intelligence & Training.   Business Information System background, Freelance. Strong technical skill. Understanding and experience implementing.  Designing business intelligence implementation steps. This BI Developer Contractor whose main experience lies within translation of business requirements to ERP, DHW, ETL, SAP BI and risk reports. He has also hands-one experience with designing, building reports in Business Objects 4 and Microsoft Power BI , within Financial Industry,  and HR Management HR Risk Reports.

 

SAP BI Business Intelligence Experience Overview

  • Since 2008 experience as a SAP BI Business Intelligence Consultant
  • Good knowledge of SAP (HR) ECC 6 r/3 and data migration concepts
  • Experience with SAP BW processes,   Data Ware House Management (dwh), Extracting, Transfer and Loading (ETL) data from different sources systems, Data Quality Management, SAP BW Testing EDW, ETL Tools such as SAP BW and SAP BODS.
  • RDBS / Database (DB): Oracle, SQL Server, MS Acces, Business Objects Data Services
  • Analyzing information, project management, full cycle project implementation
  • Functional design, technical design, Testing, Use manuals, user training
  • BI Platform SAP Netweaver with BW : Data Modeling, DBconnect, Data flows, process chains, Master data
  • Experience to guide & Lead various projects teams on Offshore BI implementation
  • Knowledges of Web Intelligence, universe design, Information Design Tool, design studio

 

Industry experience

  • Financial Services
  • Retail Sector
  • HR department
  • Shared Service Centre (SSC)
  • Manufacturing Industry  

 

SAP Project Management Experience

  • Prince 2, Scrum, RFI, RFO, RFP
  • Data Management
  • Performance Management, KPI, financial reporting,

 

Industry Experience Company Name Function Location Period
Business Intelligence Mr Data Business Intelligence

  • BI Developer SAP BW BO
  • SAP BO

(freelancer) Lecturer Big Data & BI  

  • BI Project Management
  • BI Architecture
  • BI Change Management
Amsterdam 2016-present
Financial Banking & Insurance XADAT.NL

ING / NN-Group

Business Intelligence Consultant SAP BW BO BI Rotterdam 2015-2016
Manufacturing M Mobile Solutions

Imperial Tobacco

BO / BI Business Analyst / Information Analyst / Friesland 2014-2015
Retail M Mobile Solutions IT Services Amsterdam 2012-2014
HR Share Service Centre (SSC) Locica / CGI, IT Services SAP BODS LEAD Consultant SAP HR BI Rotterdam 2011-2012
HR Share Service Centre (SCC) Atos, IT Partner Business Intelligence SAP HR / HCM / BI / BO/ BW Utrecht 2008-2010
Logistics MRO Industries IT Business Analyst / Consultant Weert 2005-2008

 

Education

 

IT-Auditing and Advisory, Erasmus University Rotterdam 2012

  • Governance & Risk Management 
  • Management Control 
  • IT Strategy
  • Control Frameworks
  • IT & Law
  • Project & Program Management 

BSc Business Information Technology 2004-2008

Zuyd University, Maastricht, Netherlands

Business Information Systems

 

Professional course / training

2015-2016

Microsoft Power BI Fundamentals

SAP Hana Fundamentals 2015-2015

Solvency II 2015-2015

Tableau Fundamentals 2015-2015

SAP Education, BI – Business Intelligence SAP Business Objects 4.0 2014-2014

SAP Education, HR- Human Capital Management (OM, PA, TM, PY) 2008-2010

SAP Education, BW- Business Ware House (BW) 2008-2010

Atos, SAP Education, SAP FI, HCM, SD, CRM, BO, BW, FS-CD 2008-2008

 

Period 2016- Present

Organization Mr Data Business School

Industry Financial, Sales

Function SAP BI, BO, BW, business intelligence consultant

IT environment Complex SAP ERP Environment, International ERP system, SAP Business Objects, SAP, SQL Server 2008, SAP ECC 6, Offshore partner India.  Using

different data source systems.

 

Responsibilities Mr. Holten is responsible for training of students (ING Bank, T-Mobile, Rabobank) and clients for renewing new reporting functionality within the existing global SAP  BI / BO / BW system.

 

BI Architecture

  • Designing business intelligence strategy and roadmap
  • Designing business intelligence strategic plan
  • Designing business intelligence strategy
  • Designing business intelligence implementation steps
  • ETL principles and best practices

 

BI Designing

  • Installing Business Objects 4
  • Deliver and maintain risk reports: credit balance reports, debt credit reports, reconciliation reports in SAP BW / BO4.
  • Analysis, preparation and testing of reporting specifications in SAP BO 4/ BI
  • Coordination with the Development teams to support and enhance SAP BI / BO / BW financial business processes

 

BI Reporting Tools

  • SAP Business Objects Web Intelligence
  • Microsoft Power BI
  • Deliver and maintain SAP BI Business Intelligence BO / BW documented procedures, work instructions and provide on-site user training

 

Creating BI White papers

  • business intelligence tools comparison matrix
  • business intelligence vendors
  • reporting tool evaluation matrix
  • evaluation criteria for business intelligence and analytics platforms pdf

 

BI Project Experience

  • Provide analysis and review of data within Financial SAP ERP applications.
  • Assist in the preparation and testing user acceptance and system test plans
  • Participate in projects for SAP BI /BW financial risk reports, providing new business intelligence functionalities in SAP BI Business Intelligence SAP BO / BW.
  • Provide training support and guidance to support desk, project delivery teams and key users for SAP BI Business Intelligence / BI / BW / BO 4 systems,

 

Period 2015- 2016

Organization XADAT.NL at ING NN-Group

Industry Financial Banking & Insurance

Function SAP BI, BO, BW, business intelligence analyst

IT environment Complex SAP ERP Environment, International ERP system, SAP Business Objects, SAP, SQL Server 2008, BEx Query Designer ,SAP ECC 6, Offshore partner India.  Using different data source systems. SAP Hana

 

Responsibilities Mr. Holten is responsible for renewing new reporting functionality within the existing global SAP BI / BO 4 / BW system.

 

  • Deliver and maintain risk reports: credit balance reports, debt credit reports, reconciliation reports in SAP BW / BO4.  He used Data Warehousing Workbench, InfoProvider, InfoObjects, Datasources, datasources, DTP, InfoSource
  • Participate in projects for SAP BI /BW financial risk reports, providing new business intelligence functionalities in SAP BI Business Intelligence SAP BO / BW.
  • Provide support and guidance to support desk, project delivery teams and key users for SAP BI Business Intelligence / BI / BW / BO 4 systems.
  • Analysis, preparation and testing of reporting specifications in SAP BO 4/ BI
  • Coordination with the Development teams to support (trouble shouting) and enhance SAP BI / BO 4 / BW financial business processes
  • Deliver and maintain training in SAP BI Business Intelligence BO / BW project documents  TUT, FUT, UAT, procedures, work instructions and provide on-site user training
  • Provide analysis and review of data within Financial SAP ERP applications.
  • Assist in the preparation and testing user acceptance and system test plans

 

Skills Analyzing ABAP, Financial risk reports, IT Support, BI functional Design, information Analyzing, SQL, project management, scrum, ETL, SAP FS-CD, business objects, marketing, credit balance reports, Business process outsourcing (BPO), business intelligence software, data mining, data warehouse,  report, reporting specialist, SAP BW, sap bi, sap bo, etl testing, human resources, SAP Hana, hr analyst, sap modules, sap hr system, business consultant, advice, freelancer, BEx Query


Working Experience

 

Period 2014-2015

Organisation XADAT.NL  at Imperial Tobacco

Industry Manufacturing Industry

Function Business Analyst / Information Analyst/ business intelligence analyst

IT environment Complex SAP ERP Environment, International ERP system, SAP Business Objects, SAP, SQL Server 2008, SAP ECC 6, Offshore partner Poland.  Using

different data source systems.

 

Responsibilities Mr. Holten is responsible for renewing new financial risk reporting functionality within the existing global ERP / BI / BO 4 / BW system

 

  • Participate in projects for Central System modules, providing new functionality ensuring the ITG Manufacturing Standard Company Model is being applied.
  • Communicate and liaise with relevant business users, regarding change request status, ensuring agreed deadlines are met.
  • Building dashboards in Business Objects
  • Analysis, preparation and testing of functional\technical specifications
  • Coordination with the Development team to support and enhance ERP Manufacturing business processes.
  • Ensuring compliance with Group standards on system implementation/data migration/support processes and implemented business processes.
  • Deliver and maintain documented procedures, work instructions and IS manuals and provide on-site user training.
  • Provide analysis and review of data within the Central Manufacturing applications.
  • Assist in the preparation and testing of user acceptance and system test plans.

 

Skills Building dashboards in BO 4 and Tableau, Risk Reports, IT Support, BI functional Design, information Analyzing, project management, Scrum, ETL, SAP BusinessObjects 4.0, Excel, Queries, SQL Server 2008, BI Training, BW training, KPI, Performance Management, Scrum, ITIL, creating requirements: Business, content marketing, Functional, Technical and Testing,  Business process outsourcing (BPO), business intelligence software, data mining, data warehouse, dashboard, report, reporting specialist, sap bi, sap bo, etl testing, sap modules, business consultant, advice, freelancer, BEx Query

Working experience

Period 2012-2014

Organization M Mobile Solutions

Branch IT Services / Retail

Function IT project Manager / Online SAP trainer 40 hours a week

ICT organization Complex SAP ERP Environment, SAP BW, SAP Business Objects, SAP, SQL Server 2008

 

Responsibilities Responsible for online web solutions (website, webstores) implementations. Via functional design, technical design. Beside he delivered:

  • SAP BO 4.0 E-learning
  • Delivering of SAP BO 4.0 E-Learning video tutorials SAP Business Objects Tools (webi, dashboard)

He designs, builds and tests online systems for clients. He outsource IT projects to India. The end results were professionally websites and online stores. He uses different software, platforms and programming languages such as: PHP, HTML, XML, Pay systems (Ideal, Mastercard, Paypal).  

IT Account Management

IT Project Management

 

Skills Functional Design, information Analyzing, project management, scrum, SAP Support, ETL, SAP HCM, ABAP, BW 7.0, Webi 4.0 ETL and SAP BusinessObjects 4.0, Excel, Queries, SQL Server 2008, BI Training, BW training, KPI, Performance Management, Scrum, ITIL, content marketing, Selling IT Services, IT account Management, Writing Sales proposal, BIDS, RFP, RFO, IT project Management, Business process outsourcing (BPO), business intelligence software, data mining, data warehouse, dashboard, report, reporting specialist, sap bi, business object, sap bo, etl testing, human resources, sap hr system, business consultant, advice, BEx Query

 

Working experience

Period 2011-2012

Organization GCI / Logica

Branch Governments / Shared Services Centre

Function BI Lead Consultant, business intelligence analyst

ICT organization Complex SAP ERP Environment, SAP FI, SAP HR,  SAP Business Objects, SAP, SQL Server 2008, BEx Query Designer.  Using different data source systems.

 

Responsibilities Responsible for the installation of business object Data Services. He performed the following activities: execute an SAP information analysis, Designing HR and FI  Risk Reports, Install SQL Server 2008R, install BODS 4.0, customize Business Objects Data Services, load data from SAP system, and, create data sources, projects, queries and data flows. He also writes installation manuals, user manuals and test manuals. In SAP BW, he used Data Warehousing Workbench, InfoProvider, InfoObjects, Datasources, datasources, DTP, InfoSource

 

  • He designed various Change Documents for his colleagues in India, in several different projects. He also tested the changes in the SAP test environment. After acceptance, the changes were transported to the SAP production environment.
  • Communicate and liaise with relevant business users, regarding change request status, ensuring agreed deadlines are met.
  • Provide support and guidance to Support Desk, Project Delivery teams and key users for SAP HR System.
  • Analysis, preparation and testing of functional/technical specifications
  • Coordination with the Development team to support and enhance  HR business processes. Coordination with the Development teams to support (trouble shouting) and enhance SAP BI  BW financial business processes
  • Deliver SAP BI BO / BW project documents  TUT, FUT, UAT,
  • Provide analysis and review of data within Financial SAP ERP applications.
  • Assist in the preparation and testing user acceptance and system test plans

 

Skills HR and Financial Risk Reports, SAP Support, BI functional Design, information Analyzing, financial processes, scrum, SAP HCM, ABAP, BW 7.0, Webi 4.0 ETL and SAP BusinessObjects 4.0, Excel, Queries, SQL Server 2008, BI Training, BW training, KPI, Performance Management, Scrum, ITIL, IT project Management, Business process outsourcing (BPO), business intelligence software, object, sap bo, etl testing, sap bods, human resources, hr analyst, sap modules, sap hr system, business consultant, advice, BEx Query

 

Working experience

Period 2008-2010

Organization Atos

Branch Shared Services Centre

Function BI / SAP HCM Consultant, business intelligence analyst

ICT organization Complex International SAP ERP Environment, SAP FI, HR SAP Business Objects, SAP, SQL Server 2008, SAP, BEx Query Designer

 

Responsibilities Responsible for Information analysis designing, building, testing and executing different HR financial risk reports.  During these activities, he used various tools like SAP HCM Queries, BW, BEx Query Designer, BO webi and Excel. He used pivot tables, macros, and graphs, SAP Queries, SAP BW Data Warehousing Workbench, InfoProvider, InfoObjects, Datasources, DTP and InfoSource.

  • Communicate and liaise with relevant business users, regarding change request status, ensuring agreed deadlines are met.
  • Provide support and guidance to Support Desk, Project Delivery teams and key users for ERP System.
  • Analysis, preparation and testing of functional/technical specifications
  • Coordination with the Development team to support and enhance HR  business processes.

In addition, he designed various Change Documents for his colleagues in India, in several different projects. He also tested the changes in the SAP test environment. After acceptance, the changes were transported to the SAP production environment.

 

Skills SAP HR Risk Reports, SAP Support, BI functional Design, information Analyzing, financial processes, scrum, ETL, SAP HCM, ABAP, BW 7.0, Webi 4.0 ETL and SAP BusinessObjects 4.0, Web Intelligence , Excel, Queries, SQL Server 2008, BI Training, BW training, KPI, Performance Management, Scrum, ITIL, IT Project Management, Business process outsourcing (BPO), business intelligence software, data mining, data warehouse, dashboard, report, reporting specialist, sap bi, business object, sap bo, etl testing, human resources, hr analyst, sap modules, sap hr system, business consultant, advice

 

Working experience

Period 2005 – 2006

Organization MRO Industries

Branch Logistics

Function Complex ERP Environment, Business Information Analyst, business intelligence analyst

ICT organization Share Services Center, ERP system,

 

Responsibilities Responsible for BI CRM software selection at the department financial services, IT, Purchasing. He did this through information analysis, software selection and process analysis. The end products were: system requirement document, user manuals, functional, and technical designs. In addition, he was also responsible for IT support of various departments (Financial, Purchasing, Sales and CRM).

  • Communicate and liaise with relevant business users, regarding change request status, ensuring agreed deadlines are met.
  • Provide support and guidance to SupportDesk, Project Delivery teams and key users for ERP System.
  • Analysis, preparation and testing of functional/technical specifications
  • Coordination with the Development team to support and enhance ERP Logistics business processes.

 

Skills IT Support, BI functional Design, information Analyzing, Scrum, ETL, Project Management, Information Analyses, IT Project Management, Business process outsourcing (BPO), business intelligence software, data mining, data warehouse, dashboard, report, reporting specialist,  business consultant, advice

 

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BI Project Plan 2.5/5 (2)

The development of the BI Business Intelligence Project roadmap provides direction to … to the delivery of projects, but also a high standard of BICC reporting strategy, training
Business intelligence Strategy and Roadmap 2018
Business intelligence Strategy and Roadmap 2018

Business intelligence Strategy and Roadmap 2018

Here are 5 steps you can follow when starting your BI journey.
  1. Structure your BI implementation project.
  2. Identify the requirements for your BI platform.
  3. Choose your BI platform.
  4. Implement your BI platform.
  5. Measure the value of your BI solution

Why BI Strategy & Roadmap?

Business Intelligence (BI) is a way of exploring data to improve business performance, whether to drive profitability or manage costs. It is not only technology you implement and then put in maintenance mode. Whether you are implementing Business Intelligence for the first time or expanding an existing implementation, it’s important to be clear about the goals of your deployment.
You maybe implementing BI system as part of an IT effort or as part of a specific line of business initiative. The goals of these two groups can be quite difference and complex. The goals of the two groups can be quite different . The goals may be driven by the following:

a Sales Analytics Improve customer loyalty, manage products prices, increase market share;
b Supply Chain Analytics On-time delivery, low freight costs;
c Finance Analytics Reduce aging of accounts receivable, reduce budget variance, improve profitability   
d HR Analytics Reduce employee turnover provide competitive pay

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senior manager business intelligence resume business intelligence project manager resume director of analytics Amsterdam Utrecht rotterdam 20188

Tip 1: Calibrate the role of IT to fit self-service BI requirements

In traditional enterprise BI environments, most users consume the data, applications and visualizations that IT produces. The self-service trend requires business and IT leadership to be more flexible and calibrate the amount of IT involvement to fit what users are trying to do. The main objective for IT should be to adopt an enabler role and help users achieve their goals by guiding them to the right data, advising how they can get the most out of BI tools and helping to scale up applications.

Tip 2: Update governance to embrace self-service BI and analytics

Users seeking new sources for data discovery and analytics don’t like waiting for new data to be incorporated into the existing data warehouse. Big data lakes and cloud-based data sources are growing in part because users need access to a wider variety of data. Unfortunately, these sources are often not adequately governed, much less vetted for quality and consistency. Organizations will need to examine current BI governance strategies and make sure they account for the expanding data environment.

Tip 3: Revise the semantic layer to support self-service interactive reporting

One of the advantages of mature enterprise BI and data warehouse architectures is having a coherent and up-to-date semantic layer, from which self-service BI and analytics can also benefit. However, diverse and distributed self-service technology can make development and maintenance of a semantic layer challenging and complex. Organizations should evaluate their existing enterprise BI and data warehousing semantic layer to ensure it can extend to ad hoc, self-service BI and analytics use cases.

Tip 4: Balance enterprise BI standardization with user agility

When decentralized and not well coordinated, each self-service technology implementation can become its own data silo. Organizations struggle with balancing user agility and BI standardization. TDWI recommends three steps:

  • Provide managed self-service that offers guidance.
  • Create self-service applications that offer standard choices within them.
  • Aim for less obtrusive IT management and governance.

Tip 5: Introduce self-service data prep carefully

Data preparation is a key concern for those trying to balance BI governance and self-service capabilities for users. To avoid the pitfalls of self-service data preparation, TDWI recommends that organizations centrally monitor metadata, integrate data prep with governance and aim for higher levels of repeatability using automation and web-based administration technologies.

Tip 6: Develop an open architecture to match workloads with technologies

Open source and cloud technologies require organizations to take a fresh look at their enterprise BI and data warehousing architectures. It may be time for a hybrid approach. Not all use cases and workloads will need the rigorous governance and structure of a traditional single architecture for enterprise BI and data warehousing. The strategy must have flexibility and openness to take advantage of the potential of new technologies and methods.

Tip 7: Refresh training to fit diverse user needs

Even though BI and analytics tools are becoming easier to use, it is not necessarily straightforward to understand and apply BI and analytics techniques, particularly for nontechnical users. Among other strategies, this report recommends mentoring through BI teams and encourages collaboration and tip sharing to help users learn from each other.

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How to build a competency center ? Call Mr Data BI Developers No ratings yet.

1. Start with a strategic mission.

Don’t think of it as a “BI Technology Center”; the BICC should be a repository of knowledge and capabilities around BI applications and priorities. Most importantly, the mission should be guided by high-level strategic goals that cut across the organization.

The whole point is making it strategic and repeatable,” says Gartner analyst Bill Hostmann. “The BICC should promote the idea of using information to make better decisions and to manage the performance of the business.”

Work with the BICC team to clearly spell out a written charter that will guide the BICC and make the mission clear to others. The BICC can then promote a shared vision, shared approach and shared technologies whether the project(s) at hand deals with the call center, marketing, financial management, the supply chain, manufacturing or human resource initiatives.

business intelligence competency center roles and responsibilities

  1. business intelligence competency center best practice
  2. analytics competency center
  3. how to build a competency center
  4. analytics community of excellence
  5. bicc meaning
  6. business intelligence competencies
  7. gartner bicc framework

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business intelligence projects examples, business intelligence plan template, business intelligence projects for students, business intelligence project plan, business intelligence project documentation, business intelligence project management templates, business intelligence project charter, business intelligence project ideas

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