Business intelligence Consultant 2.5/5 (1)

Experts in BI Development.  Specialist Business Intelligence. Landelijk inzetbaar op uw locatie. Hoge klantbeoordelingen. Medior & senior expertise. Uw flexibele ICT schil. Flexibele contracten. Direct geholpen. Vraag nu de beste Freelance BI Consultants aan. Offerte binnen 24 uur.  Maak direct een terug bel afspraak. Zoek je een door de wol geverfde Business Intelligence consultant? Een die 100% onafhankelijk en deskundig is?

Building or use a Business Intelligence team 

BI roadmap, functioneel ontwerp, technische ontwerp

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Junior BI Developer

Ontwikkel, Bouw en testen van BI systemen.

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Support Self Service BI – Business Intelligence

Bewaken en support van Self Service BI, Management KPI reporting, datawarehousing en management information functioneel Beheer BI systemen.

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Senior BI developer


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IT Business Analyst 2.5/5 (2)

Mr Big Data. Europe First Life Long Learning Environment in the new data economy . Questions ? Call Mr Data Today or book direct free appointment in Amsterdam or Brussels. Mr Data Learn & Grow.

What does an Business Analyst do?

The analyst is involved in the design or modification of business systems or IT systems. The analyst interacts with the business stakeholders and subject matter experts in order to understand their problems and needs. The analyst gathers, documents, and analyzes business needs and requirements.
 

Hire Business Analyst at Mr Data today!

The analyst is involved in the design or modification of business systems or IT systems. The analyst interacts with the business stakeholders and subject matter experts in order to understand their problems and needs. The analyst gathers, documents, and analyzes business needs and requirements.
What skills does a business analyst need?
Core Skills
  • Communication Skills. Business analysts must be good communicators. …
  • Problem-Solving Skills. No project is without problems. …
  • Critical Thinking Skills. …
  • Documentation and Specification Skills. …
  • Analysis Skills. …
  • Visual Modeling. …
  • Facilitation and Elicitation Skills. …
  • Business Analysis Tools.
Data Skills set

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Business Analyst
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erp system training certification, erp training strategy document, professional certification programs crm 2.5/5 (2)

ERP, CRM Consulting, Training & Certification Courses. … As ERP is a suite of such applications, trainees can choose the right ERP training courses according to their requirements. At Mr Data, we provide training on the best of ERP software systems, including Microsoft AX, Microsoft NAV, SAP, and Oracle EBS. Questions? Call Mr Data Today.

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What is ERP?

ERP stands for Enterprise Resource Planning Systems Transform, Integrate and Scale Businesses.
      
When you search for “ERP” on the web, the sheer amount of information that comes up can be overwhelming—not to mention a little confusing. Every website seems to have its own definition of ERP, and one ERP implementation can vary widely from the next. These differences, however, underscore the flexibility that can make ERP such a powerful business tool.

To get a deeper understanding of how ERP solutions can transform your business, it helps to get a better sense of what ERP actually is and how it works. Here’s a brief introduction to ERP and why it seems like everyone’s talking about it. Questions? Call Mr Data Today.

 

ERP Integrates Processes Across Business Functions


ERP is an acronym for Enterprise Resource Planning, but even its full name doesn’t shed much light on what ERP is or what it does. For that, you need to take a step back and think about all of the various processes that are essential to running a business, including inventory and order management, accounting, human resources, customer relationship management (CRM), and beyond. At its most basic level, ERP software integrates these various functions into one complete system to streamline processes and information across the entire organization.

The central feature of all ERP systems is a shared database that supports multiple functions used by different business units. In practice, this means that employees in different divisions—for example, accounting and sales—can rely on the same information for their specific needs. Accelerate Business Performance using NetSuite Cloud ERP.

ERP Synchronizes Reporting and Automation

 

ERP software also offers some degree of synchronized reporting and automation. Instead of forcing employees to maintain separate databases and spreadsheets that have to be manually merged to generate reports, some ERP solutions allow staff to pull reports from one system. For instance, with sales orders automatically flowing into the financial system without any manual re-keying, the order management department can process orders more quickly and accurately, and the finance department can close the books faster. Other common ERP features include a portal or dashboard to enable employees to quickly understand the business performance on key metrics.

A Brief History of ERP

 

The term ERP was coined in 1990 by Gartner, but its roots date to the 1960s. Back then, the concept applied to inventory management and control in the manufacturing sector. Software engineers created programs to monitor inventory, reconcile balances, and report on status. By the 1970s, this had evolved into Material Requirements Planning (MRP) systems for scheduling production processes. Questions? Call Mr Data Today.

In the 1980s, MRP grew to encompass more manufacturing processes, prompting many to call it MRP-II or Manufacturing Resource Planning. By 1990, these systems had expanded beyond inventory control and other operational processes to other back-office functions like accounting and human resources, setting the stage for ERP as we’ve come to know it.

Today, ERP has expanded to encompass business intelligence (BI) while also handling “front-office” functions such as sales force automation (SFA), marketing automation and ecommerce. With these product advancements and the success stories coming out of these systems, companies in a broad range of industries—from wholesale distribution to ecommerce—use ERP solutions.


Moreover, even though the “e” in ERP stands for “enterprise,” high-growth and mid-size companies are now rapidly adopting ERP systems. Software-as-a-Service (SaaS) solutions—also referred to as “cloud computing”—have helped fuel this growth. Cloud-based solutions not only make ERP software more affordable, they also make these systems easier to implement and manage. Perhaps even more importantly, cloud ERP enables real-time reporting and BI, making them even valuable to executives and staff seeking visibility into the business.

As a result, companies of all sizes and a wide range of industries are transitioning to cloud ERP systems. In fact, Forrester predicts that SaaS-based ERP adoption will rise 21 percent annually through 2015.2 When you stop to consider the benefits of ERP, it’s easy to see why it’s become so popular and why its use will continue to grow so rapidly.

 

The Business Value of ERP

  • At its core, ERP helps employees do their jobs more efficiently by breaking down barriers between business units. More specifically, an ERP solution:
  • Gives a global, real-time view of data that can enable companies to address concerns proactively and drive improvements. Questions? Call Mr Data Today.

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Studying in Europe is a great idea that provides you the opportunity to obtain an education qualification that is recognised across the European Union and European Economic Area (EU and EEA). As an added benefit, usually a degree from Europe is recognised globally.

To undertake your study in Europe gives you the chance to immerse yourself in a multicultural, multinational society due to the close proximity of the neighbouring countries and the free movement afforded to EU nationals between borders.
As part of your study in Europe you are able to do your study in a multitude of leading global languages such as French, German, Spanish, and of course, English, on top of that you have the chance to live and work in a continent which boasts 7 of the top 10 happiest countries in the world!

Customer Service

 

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Mister Big Data Customer Service can answer all your questions about Life Long Learning”  professional certification programs events.

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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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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.

Questions ?

mondy.holten@mr-data.nl

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