structure for for Midmarket Midmarket By By Big Data & Analytics in MM Business Analytics in MM Big Data in MM Business Leader / LOB Finance Marketing IT Page 1
LOB: Business Owner-Leader / Department Head Business Imperative: Build Competitive Advantage & Transform Business Performance even in today s dynamic marketplace. Advanced analytics will be a deciding factor that determines whether organizations succeed or fail. Those able to effectively manage, store and tap information for game-changing insights can capitalize on virtually endless opportunities. IBM Big Data Analytics is an integrated approach to analytics that enables organizations to extract fact-based insights from data that foster deeper understanding of customers, operations and markets, enabling the business to act on opportunities when and where the positive business impact is greatest. IBM and its Business Partners will help you to organize your data, build a roadmap for implementation, integrate analytics throughout your key processes, and walk you through a variety of deployment options to match your budget. Business Pains Resources are limited and stretched Business and operational performance Enable dynamic resource alignment with profit and growth opportunities to maximize performance and foster competitive advantage. Financial and operational risk Understand risk implications by using an integrated and comprehensive approach to managing financial and operational risk. Harness and analyze all data sources Base decisions on a single version of truth that incorporates existing data and log, sensor or social media data for new or enhanced insight. Anticipate and shape better business outcomes via stronger business insight Grow revenue / optimize investments via data-driven understanding of markets, operations, and customers Mitigate risk by finding patterns & relationships across data types & feeds Manage business risks to appropriately balance risk-taking & commercial gain Enable risk-aware, strategic decision-making Establish integrated, accurate, current information Confidence that sensitive data is governed with appropriate security and controls Access to required information while traveling Page 2
Finance: Director of Finance, Finance Manager, CFO Business Imperative: Transform business performance even in today s dynamic marketplace. Advanced analytics will be a deciding factor that determines whether organizations succeed or fail. Those able to effectively manage, store and tap information for game-changing insights can capitalize on virtually endless opportunities. IBM Big Data Analytics is an integrated approach to analytics that enables organizations to extract fact-based insights from data that foster deeper understanding of customers, operations and markets, enabling the business to anticipate and shape better business outcomes, balance risk taking and commercial gain and manage regulatory compliance. IBM and its Business Partners will help you to organize your data, build a roadmap for implementation, integrate analytics throughout your key processes, and walk you through a variety of deployment options to match your budget. Business Pains Resources are limited and stretched Financial and operational performance Enable dynamic resource alignment with profit and growth opportunities to maximize performance Financial risk Understand the potential impact of financial risk and enable the company s finance department (or financial institutions) to make risk-aware decisions Operational risk and compliance Provide an integrated and comprehensive approach to manage operational risk and meet compliance or regulatory requirements Anticipate and shape better business outcomes by delivering stronger business insight through analytics Grow revenue / optimize investments via data-driven understanding of markets, operations, and customers Enable risk-aware, strategic decision-making Mitigate risk by finding patterns across diverse data types & feeds Uncover hidden relationships to predict threats & opportunities Manage business risks to strike the right balance between risk-taking & commercial gain Manage regulatory change and reduce risk of non-compliance Page 3
Marketing: CMO / Marketing Director / Marketing Leader Business imperative: Acquire, Grow, and Retain Customers even in today s dynamic marketplace. Advanced analytics will be a deciding factor that determines whether organizations succeed or fail. Those able to effectively manage, store and tap information for game-changing insights can capitalize on virtually endless opportunities. IBM Big Data Analytics enables marketing teams to gain a deeper understanding of customers by extracting insights from customer, sales and market data, enabling marketing leaders to detect and act on opportunities when and where the positive business impact is greatest. IBM and its Business Partners will help you define the most relevant analyses, identify required data sources and implement a solution that delivers strong ROI in the shortterm and establishes data-driven marketing processes that drive greater return on an ongoing basis. Marketing Pains Marketing resources are limited and stretched Budgets are modest to start and static or shrinking Solutions must be simple and flexible to use lization Ensure each customer interaction is unique and tailored to buying journey by predicting best communication method, channel, message & time of delivery. Customer Acquisition Improve accuracy and response to marketing campaigns, reduce acquisition costs and predict lifetime value using granular micro segments based on profitable customers. Customer Retention and Profitability Improve retention and satisfaction by detecting anomalies in desired behavior, while elevating lifetime value by delivering targeted up/crosssell offers and optimizing marketing resources. Understand customers as individuals Present the ideal offer at the right time via the right channel to maximize profitability Illuminate insights that deepen marketing s knowledge of the customer Gain first mover advantage on every offer, and client interaction Uncover hidden relationships to predict market threats & opportunities Analyze trends, anomalies and micro segments to target profitable prospects and illuminate marketing insights Improve customer loyalty and retention through personalized communications and sentiment analysis. Grow revenue / optimize investments via datadriven understanding of markets, operations, and customers Page 4
IT: CIO / IT Manager / IT Director IT Business Imperative: Maximize insight and improve IT economics even in today s dynamic marketplace. Advanced analytics will be a deciding factor that determines whether organizations succeed or fail. Those able to effectively manage, store and tap information for game-changing insights can capitalize on virtually endless opportunities. IBM Big Data Analytics enables organizations to engineer competitive advantage into their business with ongoing, integrated data analysis that yields decisions that help teams achieve key business objectives. IBM and its Business Partners help midmarket IT leaders take a practical approach to implementing an integrated analytics program. Together, we will help you turn data into a trusted information foundation and add analytics capability at your pace, enabling you to plan for the long term while deploying tactically, incrementally and affordably today. IT Pains IT Resources are limited and stretched Needs) Harness and Analyze All Data Assemble, explore and discover existing data along with new data such as employee logs / notes, device / sensor or social media data for new or enhanced insight. Govern All Data Consolidate and govern the exploding volumes of structured and unstructured data to ensure business confidence and reduce storage costs. Deliver spectrum of Analytics Predict and shape better outcomes with descriptive, predictive, prescriptive and cognitive analytic capabilities that drive flexible, insight-driven solutions for all people and all decisions. Grow revenue by delivering deep understanding of customer wants/needs, hidden in structured & unstructured data Mitigate risk by finding patterns across diverse data types & feeds Gain insight from new data and analyses via enhanced data warehouse infrastructure Responsibly govern existing and new sources of information equally Extend security management to improve cyber threat detection and remediation Have confidence in the information s integrity Perform these functions without complexity Gain deeper insights about customers, operations and markets, enabling better decisions that drive competitive advantage Analyze trends, anomalies and hidden relationships to illuminate insights and predict threats / opportunities Big Data & Analytics Infrastructure: Page 5 IBM Power Systems / IBM Storage / IBM SoftLayer