DAS Analytics. Using Data Analytics to Achieve Greater Success

Transcription

1 Using Data Analytics to Achieve Greater Success

2 Challenges Companies are identifying, collecting and storing more data than ever Storing Unnecessary Information Not Capitalizing on Fleeting Opportunities Falling Behind to Competition in Era of Data Lack Talent to Make Sense of Data Don t Let This Happen to Your Firm!

3 Opportunities There is a robust ecosystem of IBM and DAS technologies that can deliver value IBM Offers Proprietary and Open-Source Solutions through their Analytics Platforms DAS has the technical and business staff to identify and solve problems and deliver solutions Solutions include powerful, cutting-edge machine learning and statistical methods Craft a Solution Together with Us Now

4 Services Provides the following services to enhance your decision making process Programmatic Data Collections Identify target databases and other sources of data, including the World Wide Web, and store this in your company s data stores or on Cloud-based storage Extraction, Transformation & Loading of Data Engineer data by transforming and preparing it for analysis utilizing advanced and industry proven data wrangling technologies Development of Predictive & Analytical Products Leverage advanced analytical technologies to identify who will buy what/when/where, the optimal transportation mix, or determine the right price to sell a product or service Delivery of Insights to Key Decision Makers Getting the right information to the right people at the right time to reduce costs or take advantage of fleeting business opportunities

5 Team Team developed around identifying opportunities, delivering solutions Project Manager / Data Lead Sells services, manages contract, manages resources, and oversees delivery Associate Data Scientist Identifies and structures problems, implements solutions Data Engineer Sources, collects, restructures and engineers various data types Business Analyst Provides industry experience, communicates with stakeholders

6 Delivery Process to identify challenges, craft, implement & deliver solutions Initial Meet & Greet Explore the business model of the firm, meet key personnel and conduct general background research regarding specifics of the industry or domain Data Assessment Explore the existing data managed by the firm and determine additional data sources related to their domain determine the company s ability to solve the problem Define Problem Work with client to gain an enhanced understanding of their capabilities, limitations and structure the problem in a way that makes the value obvious Craft Solution Identify a method to solve the problem and the data required to effectively deliver the solution to the client in a way that can be integrated with existing business processes and within existing decision cycles Integrate Product Utilize the extensive suite of products and technologies offered by IBM that will deliver a high-quality, efficacious and sustainable solution for the client Maintenance Monitor and maintain the solution in order to ensure a high level of quality is continually delivered to the client

7 Sales How to Win [Sales] with Predictive Analytics Identify the firm s cost and revenue drivers these are the basis for all analytical value propositions Define the money trail? What drives their success? Revenue or cost friction points? What decisions drive profitability? Determine what their level of data and analytics maturity currently is What data do they currently store (social media, sales, etc.)? How much do they have? Do they currently have data services they use/subscribe to? Determine how receptive to a demonstration of capabilities or assessment of their data maturity Do they want to talk more in a follow up appointment? Access their data to demo simple web app? Willing to take a data assessment? Is this Valuable? Are They Capable? Are They Willing? Consultative Sales Data Assessment Define Problem Craft Solution Integrate Product Maintenance

8 Solution Ideas to Help You Sell Analytics Proven Use Cases

9 Use Case Aerospace, Defense, Transportation, Logistics, Hotel Challenge Government client must manage preventive and corrective maintenance for more than 5,000 assets and must consider Likelihood of breakdowns Required preventive maintenance Available resources (mechanics) Available parts in order to minimize operational downtime and maximize usable lifetime. Solution With the use of analytics, develop and deploy an optimization platform to schedule assets for maintenance. Organizations are asset heavy with rolling stock, machinery and aircraft these assets require detailed maintenance management and complex scheduling to balance asset availability with longevity and total life-cycle cost

10 Use Case Automotive Onboard sensor technologies can provide accurate and real-time geo-location and performance data this can be used to optimize fleet management and deployment of resources Challenge National automotive retailer must move vehicle assets between 200+ locations while factoring in Asset values in different markets Transportation costs b/w locations Available assets in order to maximize profitability. Solution With the use of analytics, develop and deploy an optimization platform that considers realtime location, demand and market value data.

11 Use Case Chemical & Petroleum Petroleum products are the energy backbone of our economy having the right type of these valuable resources, in the right amount and having it at the right time is key to successfully maximizing ROI Challenge Regional express air cargo carrier must predict demand and lock in contracts for deicing fluid (propylene glycol) months in advance and distribute supply amongst various locations Predicting future deicing fluid prices Predicting amount required for winter Distributing amongst locations in order to keep winter flights operational and minimize costs. Solution Develop and deploy predictive model and optimization using SPSS to determine appropriate price and amount of fluids.

12 Use Case Product/Services Sales Targeting the right prospective customers with the right product and messaging is key to making sales in the high-speed, innovative electronics industry Challenge Identify the right customers to target, at the right time to target them and with the right messaging considering Preferences & interests from social media Characteristics of the product offering in order to minimize advertising costs and maximize conversion rates. Solution Develop predictive and classification algorithms that integrate with social media and deliver recommendations via a web application.