IT Labs Corporate Presentation
12Service & Product-oriented Development CompanyFOUNDEDLos
Angeles - 2005PRESENCEWorldwideTALENT150+ full time teamEXTERNAL
TALENT150 total talent network
We say: You spend 70% of your day creating, you better make it
count CERTIFICATIONSISO 9001ISO 14001ISO/IEC 27001ISO/IEC
20000-1FocusConsultancyTechnology Strategy, Business Development,
InvestmentsTechnologySystem architecture design and
integrationsCustom software solutions & productsWebsite design
& developmentMobile AppsHosting & SupportOnline
PromotionSEO & Social MediaPaid AdvertisingContent Aggregation
& CreationEducationMolding the next world-class talent [no
exaggeration]3Clients/Partners [short list]4
Technologies & Integrations5
Technology Service AreasTechnology StrategyProject
ManagementAssessments & EvaluationsSystems Design &
IntegrationFunctionality DesignArchitecture
DesignDocumentationProgramming & Quality AssuranceGraphic
Design & User ExperienceMaintenance, Hosting & Support
6Solution Process7Agile/ScrumWaterfallHybridLocations8
Management & Sales West Palm Beach, FL Menlo Park, CA New
York, NY Las Vegas, NV London, UK Tallin, Estonia Kuwait City,
Kuwait Sydney, AU
DevelopmentUSAMacedoniaCroatia
Edu LabIT Labss Educational Lab is one of the most important
parts of its intellectual power. It creates new experts with fresh
and ambitious visions. Its goal is to educate the future of the
companys talent in order to serve the new and current services
& products.The Director of IT Labs Education is Zoran Mitev,
MBAHe focuses on:Managing the Edu LabResearch, Marketing &
AdvertisingOrganization & CoordinationLeader of Edu Research
& InnovationMain contact for the studentsTo be the cool guy
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Big DataCase studies per industry10Big Data FocusInternal
improvementsAutomation of Business ProcessesProcess
ImprovementsCost ReductionBusiness Process MiningAnalyticsDecision
Making AnalyticsData Warehousing, Management & ManipulationData
RepurposingPredictive Analytics, Real-time Analytics, Pattern-based
AnalyticsCustomer BehaviorCustomer ProfilingCustomer UpsellCustomer
ManagementGaming: Sports BettingComplex Big Data Processing
Manipulation
11CosmeticsSolutions:End user profiling and analysis with
traditional data and social networks in relation to company brands.
Brand key attributes identification, awareness and engagement
levels.Matching market sentiment with personality characteristics
of celebrity influencers. Real time champion discovery.Real time
re-sellers/end customers/influencers discovery.Answers to
questions:What make-up artists use which products. What champion
(celebrity) would fit which target audience.
12InsuranceSolutionsFraud detection - End user classification
algorithms and behavior deviation detection, coupled with key
process indicators to flag potential irregularities.Repositioning
support research the landscape (demographics & competition),
gain understanding of targeted end users and their preferences and
develop tactical suggestion to support repositioning of portfolio
of products.End user retention and targeted sales/up-sales
discovery, monitoring, analytics and prediction. Understating end
users and providing suggestions on retention and contract
renegotiation. Sales team support by calculating probabilities of
end users positive reaction to
campaigns.13TelecomSolutions:Fighting churn on products with low
loyalty indexes. Gaining insight on end user roles and behavior by
innovative use of social network analysis and thus recognizing the
influencers and key players. Focusing marketing on influencers and
other key end users that have best overall positive yield to
network. Agile refocusing of communication on detection of deviance
and early warning churn detection. Minimizing the negative effects
of churners (that we did not manage to stop from churning) to the
overall network.Brand awareness and penetration to specific market
segments, competition analysis and marketing campaign support.
14RetailSolutionsCustomer loyalty using loyalty program data
coupled with analysis of social networks, relevant sites (blogs and
portals) and introspective brands and products to increase sales,
suggest up-sales, understand and use end user purchase seasonality
to offer relevant products in the just right moment, create
campaigns on special dates and periods (Valentines day, Christmas,
school season, summer vacation period and alike) that communicate
message with highest probability of end users positive curiosity
coupled with suggestion of appropriate products and bundles that
will resonate best with client preferences (and their needs &
expected budget/spending positioning).Significantly reducing
inventory by predicting sales on individual shop/city/region basis
(based on end users research coupled with machine learning based on
understanding previous sales). Minimizing end user churn by
ensuring desired products are available on-site, at the proper time
and in quantities that are just right.Up-sell prediction and
execution with measurable success rate
References are under strict NDA15BankingSolutionsBehavioral
finance ensuring end users risk exposure is in proper correlation
with end user risk appetite.Analysis of specific market segments vs
brands (in example students or young adults), listening on social
media (and blogs etc) to determine key communication topics and
decision triggers to influence their decision on what bank to use
(or switch to). Supporting targeted marketing campaigns that strive
to increase gravitation of chosen segment toward specific
bank/brand.16Sports BettingSolutionsAnalyzing end users, their
preferences and habits and key decision triggers to attract them to
the specific site and maximize their overall experience. Combining
tracking of competition to ensure offering relevance with tracking
on end user interest trends (in respect to overall sport season
events) to maximize customer retention.Models and algorithms that
carefully balance management of company risk exposure vs end users
experience. Combating fraud, both in house and on market.
References are under strict NDA
17Welcome!Welcome to the IT Labs family!
[email protected]
+1 323.384.7368
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