By capturing customers and markets insights, and then understanding, targeting, and delivering the right “value mix,” we set strategies that improve profitability and fuel growth. Advantaged product concepts drive superior competitive positioning, and that, in turn, drives higher sales.
Product development excellence
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We start by diagnosing the health of our client’s current innovation portfolio, and then systematically apply tools and best-practice templates to improve performance. Our methods have dramatically improved the quantity and quality of clients’ ideas and product concepts, and boosted clients’ efficiency by tailoring and implementing innovation portfolio processes to their particular situations. Our efforts have yielded real benefits in several metrics, from portfolio valuation and time-to-market to percentage of revenue from new products and overall return on innovation investment.
Product value management
Global innovation networks
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. Our BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics.
Your data is a strategic asset and we want to help you in making smarter decisions; but the problem is – it’s complicated. Often data is scattered in silos, stuck in departmental systems that don’t talk well with one another, the quality of the data is poor, and the associated costs are high. In conjunction with responding to market pressures, most companies are going to prioritize the urgent, tactical, day-to-day needs over the long term strategic initiatives.
Data modelling is a process used by us to define and analyze your data requirements needed to support your business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modelling involves professional data modellers working closely with business stakeholders, as well as potential users of the information system.