pre-configured data sets

>Pre-Configured Data SetsA BearingPoint AcceleratorBuilding on a flexible, agile workbench and on proven pre-configured data sets, BearingPoint speeds up the process to master big data.

ContentsMarket Drivers

Our Approach

Client Benefits

References

Contact

CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >

Pre-Configured Data Sets | A BearingPoint Accelerator



Market DriversToday’s companies, across industries, face the imminent pressure of structuring and exploiting big dataDigitalization is one of the megatrends of today’s economy. This structural change has arrived hand in hand with the occurrence of “big data”, the nearly unlimited existence of data. In a digitalized world, every process and procedure, every transaction and action can be analyzed to better understand customers.

BearingPoint has understood that in a world of nearly unlimited availability of data, one needs guideposts to enable overview and clear-sightedness. In addition to this, agility and flexibility are key for finding answers to unforeseen situations and questions.

In consequence, BearingPoint has set up a toolbox that provides two elementary means for finding a pathway towards mastering big data.

First, BearingPoint developed its agile BE Analytics Workbench. For the best possible answer, each question requires di�erent and adapted tools. This is why BearingPoint does not o�er one tool to solve a problem, but an entire workbench with various tools, so that each of them can be deployed whenever they fit best.

Second, BearingPoint has set up a comprehensive database of pre-configured data sets. With nowadays’ nearly unlimited access to data sources, it is crucial to select the right ones. Thus, the pre-configured data sets outline how a specific question in a defined environment was answered. The sets showcase the required helpful and in consequence also the superfluous data for each specific use case, so that clear guideposts exist on how to solve a customer’s problem.


CLIENT BENEFITS REFERENCES CONTACT< >

Our ApproachBE Analytics Workbench: We assist you in identifying the best possible analytical approach and we tailor advanced analytics for your business needsThe in-house developed “BE Analytics“ workbench comprises various methods and tools of statistical analysis, subgroup discovery and data mining technologies.

It combines our deep industry expertise with analytical know-how and techniques, to identify the best possible approach to data analysis.

In some cases, traditional statistics are su�cient. In other cases, data mining techniques are appropriate, especially in order to gain insights in an “unknown” direction. In addition, data exploration can help you understand your business.

If the question is to understand the root causes of known phenomena, we use subgroup discovery with HyperCube. You need a sales forecast to optimize your business? Predictive analytics is the answer!

BE W

orkb

ench

Visualization enables our client to grasp the full potential

Our expertise covers various approaches and technologies available on the marketStatistics and Prediction Subgroup Discovery Streaming Analytics

A state of the art databasee technology serves as a basis

BE A

naly

ticBE

Dat

aBE

Visu

al

IBM InfoSphereStreams

Azure StreamAnalytics

OUR APPROACHMARKET DRIVERS



Our ApproachPre-configured Data Sets (PDS) enable companies to quickly identify the data sources and categories which are necessary to solve the challenges at hand

What are pre-configured data sets?• Classification of data into use case

specific categories (level 1)• Various selected and predetermined

variables and indicators for each category (level 2)

• >70% of variables of a PDS are reusable in related use cases.

How to use pre-configured data sets?• Match a problem to a PDS in terms of

use case and industry• Compare and adapt the PDS to the

client’s available data• Perform analytics and continuously

develop data sets

Pre-configured Data Set: Store performanceCategories (level 1): 6Variables (level 2): >1,500A European retail company needed to understand the factors that led to di�erences in performance across its locations in Germany.BearingPoint gathered over 1,000 variables and built 500 additional variables from the initial set. These variables were classified in 6 di�erent categories.After analyzing the data, the client had a thorough understanding on what influenced their location performance the most and the optimal levels of store space, product mix, and store design. This PDS has been standardised to enable quick and e�ective reuse in similar use cases across industries.

# Inventoryitems

# delivery # flyers

Density RegionStore design

Store space

Income

EthnicityEducation

Gender Product mix FTE

# Cars

# Counters # Posters

Total hFloor level

Interior ageRentalcosts

Supply ChainLevel 1

Level 2

Level 2

Level 1

Operations Marketing

Area Store HR

# latedelivery

... ... ...

... ......

€ Inventoryvalue

€ spending

€ LabourBonus

%Absentees

Dataset with > 1,000 variables(here depicted as an Excel-file)

Description Example of a PDS – Store Performance



Client BenefitsCustomers across industries benefit from a shorter ramp up time enabled through pre-configured data sets as well as meaningful results obtained through the agile BE Analytics WorkbenchThe complexity of big data might act as a deterrent for decision makers. However, this deterrence should not lead to ignoring the manifold benefits, in terms of customer insights, operational improvement potential or root cause explanations.

Pre-configured data sets make it easier for big data handlers to gain traction in this unsettled field. These sets provide a clear starting point for data analysis and shorten the time of the initial analysis.

Whilst in a regular project, without pre-configured sets, on average, 1-4 weeks are required to identify and sort all the data available, pre-configured sets reduce this time to a minimum.

This directly a�ects the project’s duration and e�ectiveness, and, in consequence, the project costs.

Reduce the complexity of big data

Reduce ine�cient project time

Increase cost to value ratio per project

ReferencesOur experience with pre-configured data sets stems from various data analytics projects and di�erent customers. An excerpt is given below:



ClientMultinational telecommunications company

Our clients’ business need• Churn propensity model Our client aims at improving their e�ectiveness in churn management. BearingPoint created a churn propensity model

with higher quality than the clients’ defined KPIs, as well as micro-segmentation and respective o�ers to prevent customer churn

National electricity provider • Network outage prevention analytics In this project, BearingPoint used the HyperCube method to find the root causes of failing cables and joints within the

clients’ electricity network over two years, in order to prevent outages

World leading automotive company • Data analysis in order to optimize energy management BearingPoint was engaged to analyze sensor and battery data in utility vehicles to gain transparency, optimize the

energy management and move forward towards predictive maintenance

Multisports retailer • Store performance optimization The client wanted to increase their sales per square meter in existing stores and to identify optimal locations for

opening new shops. An optimal assortment mix and best-practice store characteristics were identified by a multi-dimensional analysis of more than 1,000 variables.

ContactMarkus LaquaPartnerBearingPoint [email protected]

Matthias HoehnePartnerBearingPoint [email protected]

Markus FrankePartnerBearingPoint [email protected]

CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT<


About BearingPoint

BearingPoint consultants understand that the world of business changes constantly and that the resulting complexities demand intelligent and adaptive solutions. Our clients, whether in commercial or financial industries or in government, experience real results when they work with us. We combine industry, operational and technology skills with relevant proprietary and other assets in order to tailor solutions for each client’s individual challenges. This adaptive approach is at the heart of our culture and has led to long-standing relationships with many of the world’s leading companies and organizations. Our global consulting network of 9,700 people serves clients in more than 70 countries and engages with them for measurable results and long-lasting success. For more information, please visit: www.bearingpoint.com

© 2016 BearingPoint. All rights reserved

mailto:[email protected]



www.bearingpoint.com

pre-configured data sets

Data & Analytics