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Transforming Big Data to Competitive Intelligence for Achieving Competitive Advantage

Organizations strive to gain a competitive edge in their industry by several means  like strongly orienting their leadership strategy, empowering their branding strategies, and importantly nurturing technology-based competitive strategy. To perform the last aspect, they have to spend their time and resources in large-scale data gathering and analytics of competitive differentiation. And, to manage the process of competitive analysis, one has to deal with a tremendous amount of data that is available on various sources to get relevant competitive and market intelligence. But the main challenge for the organizations is to leverage this data for achieving their business objectives in the hypercompetitive world that we are in.

Hence, in this article, we will understand the process of converting big data into an essential competitive advantage tool.

Mine the insights with Artificial Intelligence-based Competitive Intelligence Solution

Organizations begin competitive and market analysis with secondary research of their respective competitors. They dig-in to their business orientations, product and service positionings, sales triggers, battle cards, marketing strategies, and stay up-to-date with the important happenings around their industry. This gives them an idea about their market and the trends of the market. One cannot forget to analyze details about the customer and prospects’ of the product or services organizations are selling.

This secondary research is level 1 of collecting competitive intelligence for any organization. But the real challenge is to find such rich-quality data on the internet that is filled with noise. It is almost impossible to achieve this manually. So, the organizations use Artificial Intelligence to transform the Big data available on the web to actionable intelligence. AI-based competitive intelligence solutions come to the rescue when the competitive and market analysis is too wide to handle manually with limited resources and time at the stakeholder level. Once this is done, comes the part where the organizations have to adopt CI for their end-use of shaping decisions. Let us read how.

Internal Stakeholders leverage the Competitive Intelligence in their decision-making

Actionable competitive insights help the user organizations to achieve their business objectives. This could be different for different individuals or teams of an organization based on their work priorities. For example, competitive insights like change in a product marketing pitch of a competitor product can provide the marketing team of an organization with ideas for a new campaign or it enables them to test the response that the competitor gets to their new pitch. This is easily achieved once the competitive intelligence is available for the stakeholders in a structured form of newsletters or email-alerts to their requirements. Stakeholders use taxonomical science to segregate categories of intelligence like high strategic important updates or low strategic important updates. This enables the stakeholders to save their effort and bandwidth for more crucial tasks of strategizing decision-making.

Conclusion

Organizations have realized the importance of Market and Competitive Intelligence with time and since they cannot spend as much effort and resources in building a competitive intelligence platform from the scratch, they choose to leverage reliable market and competitive intelligence solutions to consume competitive insights, market trends, analytics, and newsletter updates. This facilitates a process for all business functions to map out the required decisions and actions. It takes time to reach from insight to action and one can say a competitive intelligence platform acts as a facilitator of the process for the convenience of the stakeholders.

Competitive Intelligence Solutions- Demand Generation Leader with 11+ years of experience in leading multidisciplinary marketing efforts for global businesses. Shilpa works closely in strategizing inbound marketing functions and actions to grow businesses in competitive and market intelligence landscape. Her role is to put forward a result-oriented approach in generating demand for AI-enabled market and competitive intelligence solutions.

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