Castaliaz Corporate Profile_2015

Sep 4, 20150 likes179 views

This document contains a list of various products, services, and capabilities including: HANA, mobile, analytics, consulting, various SAP modules, system integration, validation, architecture, applications, business intelligence, cost planning, optimization, valuation, budgeting, consolidation, risk management, compliance, and infrastructure. It also includes offerings related to procurement, auctions, order management, customer portals, CRM, and catalogs.

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HANA
RFID Mobile
Analytics
Business
Consulting CORE
FI, CO, SD,
MM, PP, PS,
QM, CS, PM
HCM, WM
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System
Integration
Independent
Validation
Service
Oriented
Architecture
Enterprise
Application
Business
Intelligence
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Product
Cost Planning
Process
Optimization
Inventory
Valuation
Planning &
Budgeting
Financial
Consolidation
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Strategic Risk
Management
Parallel
Valuation &
Compliance
IT Optimization
Segregation of
Duties
Operational
Risk
Management
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RFX, Auctions,
Live Auctions
Order
Management
Customer
portal
CRM
Catalog
Management

Biz-AnalyzerTM is a business intelligence solution for credit unions and community banks. It provides performance dashboards, ad hoc analytics, and location analytics to analyze key metrics like branch performance, loan portfolios, ATM usage, and more. The solution is built on Microsoft technologies like SQL Server, Analysis Services, and Reporting Services. It offers a hosted, fully managed platform delivered through a secure portal.

Qlik BPMS 2015 finalDimitris Fatsiletos

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This document proposes a banking performance management suite (BPMS) to help banks address business challenges from new regulations, competition, and changing customer loyalty. The BPMS would provide a holistic approach to manage financial, operational, and customer performance using a modular big data solution. It would deliver business insights through components like an advanced graphical interface, data modeling, reporting, and security. Customers could use the BPMS for insights like financial analysis, transaction analysis, branch benchmarking, and monitoring key performance indicators. The suite is based on Qlik's in-memory analytics technology and aims to provide a single version of truth across business areas.

IEGROUP Sundip Gorai v3Sundip Gorai

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This document discusses analytic engines and solutions for banking ecosystems. It outlines the key areas of compliance, risk, performance and customer analytics that banks need to address. It then describes the current analytic needs in areas like risk, finance, customers and specialized domains. Finally, it provides examples of how analytic engines can work for customer analytics, finance analytics and risk analytics.

Excellence of deliveryPaulo Fernandes

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Excellence of deliveryPaulo Fernandes

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Optimising Big Data Analytics for Non-Aeronautical ActivityConcessionaire Analyzer+

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Concessionaire Analyzer+ (CA+) is a software solution that helps airports optimize their non-aeronautical revenues through automated data collection, management of concession agreements, billing, and data analytics. CA+ collects detailed sales data from concessions, links it to operational data like passenger numbers, and provides insights to both airports and concessions. This allows airports to better understand passenger spending, benchmark concession performance, and strategize how to increase their profitable non-aeronautical business.

Illusory Kart - Reference ArchitectureRenjith V

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The document provides an architecture overview for an e-commerce platform. It outlines functional requirements for customers and vendors, as well as non-functional requirements. The design principles focus on loose coupling, standardized interfaces, and starting small then scaling. The solution architecture includes web, customer, vendor, checkout, marketing and data services. The infrastructure is designed to auto-scale services based on analytics to optimize performance under varying load levels.

Big data cloud computingAaron Jager

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This document discusses how retail organizations can leverage big data and analytics. It outlines various data sources in retail like POS systems, RFID, cameras, and social media. It then describes how this data can be used for purposes like monitoring customer behavior, promotions, and inventory management. The document also provides examples of how big data analytics can benefit sectors like security, travel, healthcare, automotive, and traffic management. Finally, it discusses various cloud tools that can be used for analytics like Pentaho, Tableau, QlikView, Microsoft Power BI, and IBM Cognos.

It's all about the cmis, no troubleMetron

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Excel Models CompetenciesScott Beber

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Transforming MIS at SAB Miller India using QlikView Business DiscoveryQlikView-India

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The document summarizes SABMiller India's transformation of its management information systems (MIS) through the implementation of a business intelligence (BI) solution using QlikView. Key aspects of the transformation included establishing a single data warehouse, deploying QlikView dashboards and reports across sales, finance, marketing and other domains, and developing a self-service BI culture with direct end user access and dynamic analysis capabilities. The new BI system provided executives and managers with enhanced insights through in-depth and cross-dimensional analysis of KPIs.

How to Convert Event Data into DollarsInformz

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This document discusses how data and technology can be leveraged across the event ecosystem. It describes how structural, behavioral, and transactional data from web/mobile tracking, session attendance, matchmaking, surveys, and other tools can be used with business intelligence to boost marketing ROI before events and grow business during and after events. It also explains how APIs and middleware can integrate data across event management, CRM, marketing automation, and BI software to share attendee profiles and other information.

Mahindra & Mahindra on QlikView Business Discovery & AnalyticsQlikView-India

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LeaseEagle2011leaseeagle

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The AI Advantage In Deductions Processing | Emagia Deductions Automation | Em...emagia

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Internship Presentation - Vitruvian TechnologiesIshan Parekh

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TH e-GIF on SOA Using Open Enterprise ArchitectureThanachart Numnonda

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This document discusses service-oriented architecture (SOA) and its implementation using open standards. It defines key SOA concepts like loose coupling, services, and composition. The document outlines an SOA framework with layers for access, business processes, services, and resources. It describes using an enterprise service bus to connect services across protocols and formats. The goal of SOA is to promote reuse through distributed, interoperable services.

CGS ProfileKishore Prabudhas

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This document provides an overview of Constient Global Solutions, an IT services company with expertise in enterprise applications, Java, .NET, web development, testing, databases, and open source technologies. The company offers staffing services, IT consulting, outsourcing, and custom software development. It has offices in India, the U.S., and UAE and serves clients in banking, insurance, and other industries.

CGS ProfileKishore Prabudhas

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This document provides an overview of Constient Global Solutions, an IT services company with expertise in enterprise applications, Java, .NET, databases, and other technologies. It operates in India, the U.S., and UAE, offering services such as custom software development, staffing, and outsourcing engagement models. The document describes Constient's technology expertise, service offerings, value proposition around quality and cost, partnerships, portfolio, and contact information.

SharePoint - A Few Good DeploymentsJeff Shuey

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The document discusses best practices for successful SharePoint deployments. It recommends starting projects by brainstorming solutions on a whiteboard rather than immediately beginning development. It also stresses the importance of training programs for users and evaluating them for effectiveness. Additionally, it notes the value of considering different generational learning styles when developing training.

Skills Services Phoenix June2010Mike Ryan

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Phoenix is a business consulting firm established in 1987 with 220 employees across Australia. It has three divisions: business consulting, productivity and sourcing, and technical solutions. Phoenix works to substantially improve clients' service quality and reduce costs through proven best practices and transferring knowledge. It sets itself apart by engaging experienced principals accountable for client outcomes. Phoenix tailors its approach to each client by analyzing processes, applying best practices, and ensuring lasting changes that provide significant results. It has experience across various industries including financial services, health, media, and manufacturing.

Optimising Network and Subscriber Analytics in a Cloud-Native EnvironmentPrecisely

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Spending on 5G network infrastructure is expected to jump from $528 million in 2018 to $26 billion in 2022 – resulting in an impending data storm which will only increase as connectivity gets the 5G turbo-charge. The challenge and opportunity will be to operationalise network and business data across the mobile network operator - but how do you integrate, manage, analyse and extend the value of this data across all areas of your business? Shifting gears to process this data natively in Big Data environments is paramount to enabling efficient location analytics across the enterprise. More than ever, the race is on for Mobile Network Operators to realise the benefits of becoming a cloud-native Telco. Join our webinar as we discuss the challenges and opportunities of planning, monitoring and optimising your network and subscriber data, natively within a cloud environment, while seeing first-hand how this approach is changing the game for Mobile Network Operators - helping them to: •�� Optimise network planning Associate predicted network performance with collected network interactions from billions of subscriber connections. Support network capacity planning and consistent service assurance as well as better targeting and care of high-value customers. •�� Adopt smarter investment strategies Use Big Data and analytic tools to target the most profitable segments and geographical areas for subscriber marketing initiatives. •�� Access location-based reporting Drive a consistent, accurate and intuitive reporting view across stakeholder and departments - creating clarity on subscriber locations and network infrastructure.

Optimising Network and Subscriber Analytics in a Cloud-Native EnvironmentPrecisely

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Spending on 5G network infrastructure is expected to jump into the billions – resulting in an impending data storm which will only increase as connectivity gets the 5G turbo-charge. The challenge and opportunity will be to operationalise network and business data across the mobile network operator - but how do you integrate, manage, analyse and extend the value of this data across all areas of your business? Shifting gears to process this data natively in Big Data environments is paramount to enabling efficient location analytics across the enterprise. More than ever, the race is on for Mobile Network Operators to realise the benefits of becoming a cloud-native Telco. View this webinar as we discuss the challenges and opportunities of planning, monitoring and optimising your network and subscriber data, natively within a cloud environment, while seeing first-hand how this approach is changing the game for Mobile Network Operators - helping them to: - Optimise network planning - Associate predicted network performance with collected network interactions from billions of subscriber connections. Support network capacity planning and consistent service assurance as well as better targeting and care of high-value customers. - Adopt smarter investment strategies - Use Big Data and analytic tools to target the most profitable segments and geographical areas for subscriber marketing initiatives. - Access location-based reporting

Digital Commerce Engine 6.5Elastic Path

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Create Compelling Dashboards for Finance ProfessionalsPerceptive Analytics

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11/15/12 CBIG Presentation by Joe KoczwaraSubrata Debnath

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The document discusses analytics and data visualization from the perspective of an analyst over time. It describes how topics have changed from scheduling commercials in the 1980s to modern topics like 3D images of dark matter. Methods have also advanced from basic price and promotion modeling to more sophisticated predictive modeling based on psychometric data. Overall, the document outlines the evolution of analytics from earlier focus on discrete topics to today's emphasis on complex, integrated approaches.

Optimising Network and Subscriber Analytics in a Cloud-Native EnvironmentPrecisely

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BA notes unit - V.pptx yVALLARASUS11

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Unit - I - Introduction to Business Analytics.pptxBrawinJeyaramJ1

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Business analytics involves collecting and analyzing past business data to gain insights and make better decisions. It has two main areas: business intelligence, which examines team performance, and statistical analysis, which checks future performance. Business analytics helps organizations understand customers, manage reputation, improve efficiency, and mitigate risks. It uses techniques like data mining, forecasting, and visualization to analyze descriptive, predictive, and prescriptive data. The goal is to define business needs, explore and analyze data, predict outcomes, optimize solutions, make decisions, and continually update based on results. Benefits include enhanced customer experience, informed decisions, reduced costs, and improved products. Challenges include lack of skills, data issues, and high costs.

Workshop: Make the Most of Customer Data Platforms - David RaabDigital Customer Experience (DX) Summit

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Marketers have more data available than ever but struggle to pull in together in a usable format. Customer Data Platforms promise to solve this problem by offering easy-to-deploy systems specializing in data unification and sharing. But can CDP really deliver on its promise? This workshop will equip you to understand the definition of a CDP, how CDPs differ from other systems, which features are shared by all CDPs and which are found in only some, the most important CDP use cases, how to select the right CDP, how to manage a successful deployment and where to look next for more information.

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