Business Intelligence Training in Dublin

Online or onsite, instructor-led live Business intelligence (BI) training courses demonstrate through hands-on practice how to understand, plan and implement BI within an organization.

BI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Business Intelligence training can be carried out locally on customer premises in Dublin or in NobleProg corporate training centers in Dublin.

NobleProg -- Your Local Training Provider

Image of NobleProg Training Place, City Dublin Ballsbridge

Regus Dublin Ballsbridge, Alexandra House, Ballsbridge, Dublin, Ireland, D04 C7H2

The modern, marble-fronted Ballsbridge building stands in the commercial centre of Dublin. It is close to the city's banking and financial institutions as well as foreign embassies. The Dublin 4 area covers businesses literally from A to Z and almost any support or service is just a few minutes' walk away. These enterprises range from the micro to multinational, with the sectors covered stretching from traditional professional and financial services to cutting-edge IT and support. Dublin has energy and passion for doing business. New opportunities abound and there is a growing number of outlets, such as business networking groups, to help support growing firms reach their full potential.

Image of NobleProg Training Place, City Dublin St. Kevin without photo.

Regus Dublin Pembroke House, Upper Pembroke Street 28-32, Dublin, ireland, D02 EK84

Pembroke House is home to a thoroughly modern business centre within an impressive, historic Georgian building. The address lies within the commercial district of the capital and means it offers excellent business connections to the diverse enterprises of Dublin. With many financial and IT enterprises already operating successfully, the area around this location puts occupiers at the very heart of business life. This proximity of the centre to other firms opens up numerous networking and business development opportunities often literally on the doorstep. When it comes to selecting advisers and support services there are plenty of options available for any size of organisation. All this comes with excellent transport links and other amenities.

Image of NobleProg Training Place, City Dublin Airport without photo.

Regus Dublin Airport, Block B, The Cresent Building, Dublin, ireland, Northwood

The Crescent Building is located in a prestigious business park just 5 minutes from Dublin airport. With its own dedicated ground floor entrance this striking, crescent-shaped building features floor to ceiling tinted-glass windows on every level. The stylish, business centre is perfectly situated between Dublin city centre and the airport and also has easy access to both the M1 and M50 motorways. A large number of global pharmaceutical, information and telecommunication companies have bases in Dublin, which is the economic heart of Ireland. Hotels, cafes, restaurants and other amenities are nearby.

Image of NobleProg Training Place, City Dublin Sandyford

Regus Dublin Sandyford, Level 1, The Chase, Dublin, ireland, D18 Y3X2

Our Dublin, The Chase, business centre provides the best possible working environment thanks to its innovative design, quality construction and stunning architecture. The exceptionally high spec, mixed-use location provides a clean, efficient space to work in alongside a number of international blue-chip corporations in the highly sought after Sandyford Industrial Estate. If you are networking or meeting with clients, there are excellent transport links with close connections to the Luas tram network, M50, the airport, N11 and a quality bus link. If you want to conduct business in a more social setting, not only are there on-site dining facilities, but also a host of options a little further afield. And with the famous Leopardstown racecourse on the doorstep, client entertainment couldn’t be easier. With easy accessibility, a wide variety of essential amenities such as banks, supermarkets, hotels and corporate lettings, Sandyford is one of the most popular business locations in Ireland.

Image of NobleProg Training Place, City Dublin Jury Inn

Dublin - Jury's Inn, Moore Street Plaza, Parnell Street, Dublin 1, ireland

Directions:

From Airport by Car (8 km): Follow the signs for the city centre to the M1 motorway city bound.
Leaving the motorway continue straight onto Drumcondra Road. This road leads into Lower Dorset Street.
Turn left onto Hardwicke Street. Continue straight ahead onto Hardwicke Place. Bear left onto George's Place. Bear right onto Temple Street. Turn right onto Denmark Street. Continue straight ahead onto Gardiner Row.
Turn left onto Parnell Square East. Continue straight ahead onto Cavendish Row.
Bear right onto Parnell Street. Jurys Inn Dublin Parnell Street is on the left.

Connelly Station (1.6 km): Leave the station and cross Matt Talbot Bridge. Turn right onto George's Quay. Continue straight on Burgh Quay and then onto Aston Quay. Turn right onto O'Connell Street and at the end of that street take a left onto Parnell Street. Jurys Inn Dublin Parnell Street is on your left.

Heuston Station (3.2 km): Leave the station and take a left towards the city centre. Follow the quays along the river. Turn left onto O'Connell Street. Continue straight and turn left onto Parnell Street. Jurys are on the left.

Dun Laoghaire Ferry Port (8 km): Leave the station and cross Matt Talbot Bridge. Turn right onto George's Quay. Continue straight on Burgh Quay and then onto Aston Quay. Turn right onto O'Connell Street and at the end of that street take a left onto Parnell Street. Jurys Inn Dublin Parnell Street is on your left.Turn left onto George's Street Upper. Turn right onto Marine Road. Turn left onto Eblana Avenue. Turn left onto Sussex Street. Turn right onto George's Street Lower. Continue straight on Cumberland Street. Continue straight on Dun Laoighre Road. Continue straight on Longford Place. Continue straight on Monkstown Crescent. Turn Left onto Carrickbrennan Road. Bear left onto Monkstown Road. Bear right onto Temple Hill. Continue straight on Temple Road. Continue straight on Frascati Road. Continue straight on Rock Road. Continue straight on Merrion Road. Continue straight on Pembroke Road. Continue straight on Northumberland Road. Continue straight on Mount Street Lower. Bear right onto Grattan Court East. Bear right onto Grattan Street. Turn left onto Hogan Place. Continue straight on Fenian Street. Bear right onto Sandwith Street Upper. Bear left onto Pearse Street. Turn right onto Tara Street. Continue straight over Butt Bridge. Continue straight on Beresford Place. Continue straight on Abbey Street Lower. Bear right onto Beresford Place. Turn Left onto Gardiner Street Lower. Turn left onto Sean MacDermott Street Lower. Turn right onto Cumberland Street. Bear left onto Britain Place. Bear left onto Parnell Street. Jurys located on the left.

Car Parking: Parking is available only 5 min walk from hotel at Clerys Q-Park Multi Storey Car Park located at Marlborough St. Jurys Inn Hotel Guests can avail of discount rates as follows: evening parking for €4.00 (6pm - midnight) and €10.00 for 24 hour. Ensure to get your ticket validated at the hotel reception and pay for your parking at the QPark Car Park Office located at the pedestrian entrance on Marlborough Street.

Opening times and prices may change at the car park operator’s discretion and as such the information is a guideline only. Please check at the entrance to the car park to obtain exact prices, opening times and closing times. Tel: (01) 8748902 | Web: www.q-park.ie

Subcategories (17)

35 Hours

Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information. High-value government solutions will be created from a mashup of the most disruptive technologies:

Mobile devices and applications
Cloud services
Social business technologies and networking
Big Data and analytics

IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured. But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog. The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it. The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge. Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.). Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.

Big Data Business Intelligence for Telecom and Communication Service Providers

35 Hours

Overview Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month. Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored. With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.) This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain. Course objectives Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:

Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
How Big Data analytic differs from legacy data analytic
In-house justification of Big Data -Telco perspective
Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
Network failure and service failure analytics from Network meta-data and IPDR
Financial analysis-fraud, wastage and ROI estimation from sales and operational data
Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization

Target Audience

Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
Business Analysts in Telco
CFO office managers/analysts
Operational managers
QA managers

Last Updated: 2025-04-16

Testimonials (25)

Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!

Deepthi - Invest Northern Ireland

Course - IBM Cognos Analytics

The ability of the trainer to align the course with the requirements of the organization other than just providing the course for the sake of delivering it.

Masilonyane - Revenue Services Lesotho

Course - Big Data Business Intelligence for Govt. Agencies

The content was tough but that extra effort I had to put helped me remember and understand power BI better.

Melvin - TLI Group

Course - Power BI DAX Fundamentals

The energy, knowledge and style of teaching of the trainer

Ioana - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL

Course - From Tableau Beginners to Advanced User

The course material was commendable, featuring insightful overviews of Linux and Superset. While the Python component was comprehensive, it demanded a substantial coding proficiency

EMMANUEL MFANA KUNENE - Palladium Group

Course - Apache Superset for Administrators

the clear and concise explanations

Georgiana - Everience

Course - Power BI Basic

lots of pratical exercises

Marcin - Narodowy Bank Polski

Course - Splunk Data Administration

Discussing about our issues

Rr Dwi Putri Periska Sari - PT. Becton Dickinson Indonesia

Course - Power BI for Developers

Data management, reporting and statistics concepts.

Dumisani - Interfront SOC Ltd

Course - Stata: Beginner to Advanced

Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.

Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.

Course - Tableau Intermediate Training Course

What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs

Ernesto Sitoe Junior - Electricidade de Mocambique

Course - Advanced Power BI

Understanding big data beter

Shaune Dennis - Vodacom

Course - Big Data Business Intelligence for Telecom and Communication Service Providers

I liked the fact that it was very dynamic, adjusted to our needs.

Bogdan Dinica - Sennheiser Consumer Electronics GmbH, Brasov Division

Course - MicroStrategy Business Intelligence (BI)

Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.

Dietmar Glanninger - BMW

Course - Qlik Sense for Data Science

Hands on exercise and the guidance of the trainer

Jackielou Nina Dellosa - Asiagate Networks, Inc.

Course - JasperReports

Share example of application

Course - Alteryx for Data Analysis

Very clearly articulated and explained

Harshit Arora - PwC South East Asia Consulting

Course - Alteryx for Developers

Labs, they were very interesting.

Aurora Sanz - ITALTEL SA

Course - Splunk Fundamentals

The second day as Power Bi is a really friendly tool, and clearly Costas knows it very well, it was really good to learn about that tool. Unfortunately we have to see Power pivot in excel first which is really not user friendly but definitely a must see first in order to understand how Power Bi works, and it makes Power Bi look super cool :)

Anne-Cecile Jacquot - Ameropa

Course - Excel to Power BI

Linear regression - the algorithm to predict the trend

Vincent Ko - UBS

Course - Data Preparation with Alteryx

The trainer answered all of my questions and gives us a walkthrough.

Mark Xavier Rimas - AIGSS- BPI

Course - Tableau Fundamentals to Advanced

The easy rapport with Gunnar was really helpful in learning the topic(s). There was little to no pressure to follow along perfectly with examples as can happen in some classes. He was very supportive and would happily retrace our steps and figure out the issue. Being the only person in the class allowed me to also ask a lot of questions of Gunnar. It was a very informative class.

Karen Salamy - Monterey Bay Aquarium Research Institute (MBARI)

Course - Getting Started with Apache Superset

Setting up the universal forwarder and heavy forwarder is something I know for a fact I will use on my team.

Madison Sample - Ultimate Knowledge

Course - Advanced Splunk

The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.

Marco Iuliano

Course - Power BI Dashboards

The knowledge of trainor about the tool.

Kendrick Bacani - Thakral One Inc.

Course - Data analysis with Tableau

Provisonal Upcoming Courses (Contact Us For More Information)

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Business Intelligence Training in Dublin

Dublin Ballsbridge

Dublin St. Kevin

Dublin Airport

Dublin Sandyford

Dublin Jury Inn

Subcategories (17)

Power BI

Tableau

Apache Superset

MicroStrategy

Google Sheets

Looker Studio

Splunk

Alteryx

Apache Druid

SAS

Stata

IBM Cognos

JasperReports

QlikView

Metabase

Redash

Pentaho

Explore Our Courses

Artificial Intelligence for Data Analysis in the Financial Sector

QuickSight Dashboard Authoring and Administration

Business Intelligence Reporting Tool (BIRT)

Oracle Business Intelligence (OBI)

SAS Business Intelligence (BI)

SAP BusinessObjects Business Intelligence (BI)

Advanced Data Integration and Visualization with Looker Studio

Cognos Analytics for Finance: Certification Preparation

Excel and Google Sheets

Sisense Business Intelligence

Comprehensive Splunk Administration and Advanced Utilization

Advanced JasperReports

Alteryx Advanced

AWS QuickSight

Cognos 11

Google Sheets for Excel Users

Getting Started with Looker Studio

MicroStrategy for Architects

Splunk Fundamentals 2

Statistical Analysis with Stata and Integration with R

Apache Superset for Administrators

Business Intelligence in MS SQL Server 2008

Advanced Splunk

Advanced Apache Superset

Algorithmic Trading with Python and R

Alteryx for Data Analysis

Alteryx for Developers

Big Data Business Intelligence for Govt. Agencies

Big Data Business Intelligence for Telecom and Communication Service Providers

Big Data Business Intelligence for Criminal Intelligence Analysis

Cluster Analysis with R and SAS

Data Preparation with Alteryx

Apache Druid for Real-Time Data Analysis

IBM Cognos Analytics

JasperReports

Business Intelligence and Data Analysis with Metabase

MicroStrategy Business Intelligence (BI)

MicroStrategy for Developers

Power BI Dashboards

Pentaho Open Source BI Suite Community Edition (CE)

Qlik Sense for Data Science

QlikView for Business Users

QlikView for Developers

Data Analysis with Redash

SAS Programming

Splunk Fundamentals

Splunk Data Administration

Business Intelligence with SSAS

Stata: Beginner to Advanced

Statistical Analysis with Stata and R

Getting Started with Apache Superset

Testimonials (25)

Deepthi - Invest Northern Ireland

Course - IBM Cognos Analytics

Masilonyane - Revenue Services Lesotho