BUSINESS INTELLIGENCE: Smart City & Inititative Business Intelligence service as the part of SDP’s Management Consulting & Government Advisory service offering for Public, Private and Social sector clients.
Product/ Service Delivery Duration:
Min 1-2 months depending upon Size of offering required and Scope of Work.
Ideal Client Type:
Public, Private and Social sector clients: International Agencies, National Governments-Ministries; Local Governments-Municipalities, Development Authorities, Smart City SPVs/ offices, Private Companies.
What is in the package of Product/Services (Deliverables)?
Business Models report, guidelines and recommendations
Product Offering/SoW Overview:
Writing data collection and processing procedures.
Ensuring that data is being correctly gathered, stored, and analyzed.
Reporting data findings to management.
Continually monitor data collection.
Develop methodologies to improve data analysis.
Learning and fully understanding the data landscape in databases and applications.
Competitor Profiling and Analysis
Using and developing data collection processes
Reviewing and validating data
Gathering end user reporting and dashboard requirements
Developing dashboards and creating reports and supporting users with them
Communicating insights to senior management and across the organisation
Gathers business intelligence from a variety of sources including company data, industry and field reports, public information, or purchased sources.
Assesses market strategies by analyzing related products, markets, or trends, Competition, litigation, markets and regulation-Antitrust advice, Economic analysis of M&A transactions, Expert witness services, Economic damage estimation, Regulatory and regulated entity modelling, Market analysis, Competition analysis.
Uses business intelligence data and tools to identify and monitor current and potential customers.
Identifies markets for future product development and methods to improve sales of existing products by analyzing technology trends.
Compiles business intelligence or trends to support actionable recommendations.
Maintains current knowledge of industry and business trends through communication with professional organizations, suppliers, customers, competitors, and other informed individuals.
Focus on supporting key business objectives with better information embedded in specific business processes.
Instant Alerts, Custom Market and Competitive Intelligence Reports
Continuously updated News feeds
Integration into other enterprise systems such as ERP, CRM, KMs, and more
Faster analysis, intuitive dashboards.
Increased organizational efficiency.
Data-driven business decisions.
Improved customer experience.
Improved employee satisfaction.
Trusted and governed data.
- Performing due-diligence on services, portfolio and market competition analysis & Smart Cities Benchmarks.
- Developing Smart Cities economic models, econometric models, financial models
- Optimization and prioritization- Cost-benefit analysis, Cost-effectiveness analysis, Commercial analysis, Profitability analysis, Project/service feasibility, Behavioral economics, Cost-utility analysis, Risk benefit analysis, Fiscal impact analysis, Service planning.
Additional Free Offerings:
- Lack of BI Strategy
- Poorly defined market segments, competitors, products or topics of interest (to track)
- Major updates from the competition and the market are missed frequently, or are reported too late to take action.
- Insights on significant industry news, trends and innovations are missed or overlooked.
- Emerging competitors or potential adversaries go unnoticed until they make major news.
- Overwhelming amounts of competitive intelligence that never get used
- Intelligence is not organized - difficult to find by functions, products, source, topic, industry segment, geography, etc.
- Intelligence is not prioritized according to relevance or level of strategic importance
- Users/stakeholders find your market and competitive intelligence system hard to navigate
- Lack of Training & Execution
- Lack of BI impact (Low utilization)
- Business Intelligence with unstructured data
- Installation and Deployment
- Piling of Historical Data
- Muddling of commercial settings
- Limited use & lack of Internal Resources.
- Time Consuming Implementation