Business Solutions. Agenda Overview Business Solutions Benefits Company Summary.

Slides:



Advertisements
Similar presentations
Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 12 1.
Advertisements

A BPM Framework for KPI-Driven Performance Management
Copyright © 2012, SAS Institute Inc. All rights reserved. SAS CUSTOMER INTELLIGENCE SOLUTION BRIEFING SAS MARKETING OPTIMIZATION AND SAS ADAPTIVE CUSTOMER.
1 Goals using SAS As a financial service provider, we do: Banking: subtract / add amounts by accounts Insurance: getting paid for insurance policy’s And.
Supporting End-User Access
TRANSFORMING NEW PRODUCT LAUNCHES Chris Casey Xxx TITLE xxx October 1, 2014 PRECISION ACTIVATION.
6 - 1 Lecture 4 Analysis Using Spreadsheets. Five Categories of Spreadsheet Analysis Base-case analysis What-if analysis Breakeven analysis Optimization.
IBM SPSS Solutions A SELECT INTERNATIONAL COMPANY.
McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 CUSTOMER RELATIONSHIP MANAGEMENT.
Decision Support Chapter 10. Overview Databases are really information technology Decision Support is a business application that actually uses databases.
CRM Customer Relationship Management. What is CRM? CRM is a comprehensive way to manage the relationship with your customers CRM systems enable you to.
Data Sources Data Warehouse Analysis Results Data visualisation Analytical tools OLAP Data Mining Overview of Business Intelligence Data visualisation.
Business Intelligence UCC March 9 th 2011 Jonathan McCarthy.
Chapter 11 Building a Customer-Centric Organization – Customer Relationship Management 11-1.
INTRODUCTION ON SAS ( Statistical Analysis Software) BY- R ajat PaL.
“Collaborative automation: water network and the virtual market of energy”, an example of Operational Efficiency improvement through Analytics Stockholm,
CHAPTER 8: LEARNING OUTCOMES
What is Business Intelligence? Business intelligence (BI) –Range of applications, practices, and technologies for the extraction, translation, integration,
CUSTOMER RELATIONSHIP MANAGEMENT
Customer Relationship Management (CRM)
SharePoint 2010 Business Intelligence Module 6: Analysis Services.
“Put the Power of Predictive Analytics in the Hands of Clinical Researchers” Filippos Katsampouris Marketing Manager Healthcare & Pharmaceutical Accounts.
Efficient BI Solution Presented by: Leo Khaskin, PowerCubes Lab Value of Information as Business Asset.
Analytics and Business Process Effectiveness Session at Silicon India 30 Jul 2011 Rajgopal Kishore Vice President and India Head of Financial Services,
ACACSO Annual Meeting November 11, 2011 Presented by Joel Christensen Using Business Intelligence to Drive Performance.
McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 CUSTOMER RELATIONSHIP MANAGEMENT.
Supporting tools in an IT Project & Portfolio Management environment Ann Van Belle -
Copyright © 2010, SAS Institute Inc. All rights reserved. How do you respond to a Data Tsunami? Keith Collins CTO, SAS Institute January 28 th, 2010.
Enabling the Organization – Decision Making
GBA IT Project Management Final Project – “ FoodMart Corp - Making use of Business Intelligence” July 12, 2004 N.Khuda.
INTRODUCTION TO DATA MINING MIS2502 Data Analytics.
@ ?!.
Copyright  2007 McGraw-Hill Pty Ltd PPTs t/a Marketing Research 2e by Hair, Lukas, Bush and Ortinau Slides prepared by Judy Rex 1-1 Chapter One Overview.
BUSINESS DRIVEN TECHNOLOGY
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc. All rights reserved. 1-1 BUSINESS DRIVEN TECHNOLOGY UNIT 1: Achieving Business Success Through.
Fox MIS Spring 2011 Data Mining Week 9 Introduction to Data Mining.
Introduction – Addressing Business Challenges Microsoft® Business Intelligence Solutions.
World Class Commissioning and World Class Informatics, the quest for quality information Jan Sobieraj - Chief Executive, NHS Sheffield.
10-1 Identify the changes taking place in the form and use of decision support in business Identify the role and reporting alternatives of management information.
© 2010 IBM Corporation Business Analytics software Business Analytics Editable Text Editable Text Editable Text.
Lexmark By Rosanna Nadal & Irina Yermolovich. Lexmark International Global manufacturer of printing products and solutions for customers in more then.
Information Systems in Organizations Managing the business: decision-making Growing the business: knowledge management, R&D, and social business.
Introduction to Entrepreneurship Develop the Marketing Plan.
MIS2502: Data Analytics Advanced Analytics - Introduction.
Lesson 9: Types of information system. Introduction  An MIS is a decision support system in which the form of input query and response is predetermined.
Intended for Knowledge Sharing only Optimizing Product Decisions with Insights THE PRODUCT MANAGEMENT & INNOVATION EVENT 2016 Jan 2016.
1 Copyright © 2009, Oracle. All rights reserved. Oracle Business Intelligence Enterprise Edition: Overview.
ERP and Related Technologies
1 Copyright © Oracle Corporation, All rights reserved. Business Intelligence and Data Warehousing.
IBM Global Business Services © Copyright IBM Corporation Oracle High Technology Industry CES Summit - Strategic Partner & Channel Transformational.
Our Mission To drive sales for our clients through best in class data design, analytics, and actionable insights in a product that is customized for their.
1 © 2014 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner.
01-Business intelligence
Customer Analytics: Strategies for Success
Decision Support Systems
MIS2502: Data Analytics Advanced Analytics - Introduction
Analysis Using Spreadsheets
IBM Tivoli Web Site Analyzer Training Document
Chapter 11 Building a Customer-Centric Organization – Customer Relationship Management 11-1.
Customer Relationship Management (CRM)
WEBINAR The Rise Of Insights Services
ENHANCING MANAGEMENT DECISION MAKING
Business Intelligence
Supporting End-User Access
Business Intelligence
MIS2502: Data Analytics Introduction to Advanced Analytics
MIS2502: Data Analytics Introduction to Advanced Analytics and R
Business Intelligence
BUSINESS PLAN Company Name.
Presentation transcript:

Business Solutions

Agenda Overview Business Solutions Benefits Company Summary

Better InsightBetter DecisionBetter Outcomes Analytics Overview Analytics is the discovery and communication of meaningful patterns in data. Analytics can define the trends in business and gain the maximum profit. Analytics helps to reduce the extra cost and manpower. Analytics controls fraud and risk. Analytics provides complete Business Solution and Strategic Planning. Analytics can predict future outcomes and also best /worst case scenarios. Analytics

Analytics Solutions 1.STANDARD REPORTS Answer the problem: What happened? When did it happen? They’re generated on a regularly basis and describes just “What happened” in a particular area. They are useful to some extent, but not for making long-term decisions. Example: Monthly or quarterly financial reports.

Analytics Solutions (contd..) 2. AD HOC REPORTS Answer the problem: How many? How often? Where? At their best, ad hoc reports let you ask the questions and request a couple of custom reports to find the answers. Example: Custom reports that describe the number of hospital patients for every diagnosis code for each day of the week.

Analytics Solutions (contd..) 3. QUERY DRILLDOWN (OR OLAP) Answer the problem: Where exactly is the problem? How do I find the answer? Query drilldown allows for a little bit of discovery. OLAP lets you manipulate the data yourself to find out how many, what colour and where. Example: Sort and explore data about different types of cell phone users and their calling behaviours..

Analytics Solutions (contd..) 4. ALERTS Answer the problem: When should I react? What actions are needed now? With alerts, you can learn when you have a problem and be notified when something similar happens again in the future. Alerts can appear via , RSS feeds or as red dials on a scorecard or dashboard. Example: Sales executives receive alerts when sales targets are falling behind.

Analytics Solutions (contd..) 5. STATISTICAL ANALYSIS Answer the problem: Why is this happening? What opportunities am I missing? Here we can begin to run some complex analytics, like frequency models and regression analysis. We can begin to look at why things are happening using the stored data and then begin to answer questions based on the data. Example: Banks can discover why an increasing number of customers are refinancing their homes.

Analytics Solutions (contd..) 6. FORECASTING Answer the problem: What if these trends continue? How much is needed? When will it be needed? Forecasting is one of the hottest markets and hottest analytical applications right now. It applies everywhere. In particular, forecasting demand helps supply just enough inventory, so you don’t run out or have too much. Example: Retailers can predict how demand for individual products will vary from store to store.

Analytics Solutions (contd..) 7. PREDICTIVE MODELING Answer the problem: What will happen next? How will it affect my business? If you have 10 million customers and want to do a marketing campaign, who's most likely to respond? How do you segment that group? And how do you determine who's most likely to leave your organization? Predictive modeling provides the answers. Example: Hotels and casinos can predict which VIP customers will be more interested in particular vacation packages.

Analytics Solutions (contd..) 8. OPTIMIZATION Answer the problem: How do we do things better? What is the best decision for a complex problem? Optimization supports innovation. It takes your resources and needs into consideration and helps you find the best possible way to accomplish your goals. Example: Given business priorities, resource constraints and available technology, determine the best way to optimize your IT platform to satisfy the needs of every user.

Analytics Solutions Summary

Having the knowledge you need: Analytics delivers insightful information in context so decision makers have the right information, where, when and how you need it. Making better, faster decisions: Analytics provides decision makers throughout the organization with the interactive, self-service environment needed for exploration and analysis. Optimizing business performance: Analytics enables decision makers to easily measure and monitor financial and operational business performance, analyze results, predict outcomes and plan for better business results. Uncover new business opportunities: Analytics delivers new insights that help the organization maximize customer and product profitability, minimize customer churn, detect fraud and increase campaign effectiveness. Benefits of Analytics

Company Summary SANGUINES, is a provider of decision analytics and outsourcing services. Our vision is to be the partner of choice in outsourcing and business transformation services.Our mission is to provide a competitive edge to our clients by transforming and outsourcing their business processes. We will always aspire to be right the first time and every time. We promote a work ethic which strives to ensure zero defects always. We will thereby exceed expectations and targets and maximize value for the client and the organization.