The Data Conundrum

The absence of a data-driven approach in business processes poses significant challenges, including increased ambiguity in decision-making, inefficient asset management, and the inability to make well-informed decisions on digitisation initiatives.?

Without the ability to measure the success of campaigns and make data-driven bidding decisions, organizations may struggle to optimize resources and maintain a competitive edge.?

The lack of transparency, trust, and inclusion in campaigns further hinders overall business propositions, impeding sustained growth.?

Businesses risk missed opportunities, inefficient resource allocation, and diminished competitiveness in a dynamic market environment without leveraging data.?

Here is a brief prescription for those who want to do something about this data-inefficient landscape we face.?

What to Look For

1. Source:?Authenticity is paramount. Data sourced from reliable channels compliant with data protection regulations such as the Data Protection Bill or GDPR ensures the integrity of information.

2. Collection Method:?The methods employed in data collection are diverse - from cameras and mobile SDKs to sensors, telecom towers, and extensive research endeavours. Understanding these methodologies is crucial in evaluating the reliability and relevance of the data collected.

3. Granularity:?The richness of data lies in its granularity. Look for datasets that provide detailed insights into demographics, spatial characteristics, and behavioural patterns, enabling a nuanced understanding of consumer behaviour and market dynamics.

4. Extrapolation:?Consider the scale of data extrapolation. Assess the sample size by city, the efficacy of data filtration methods, and the layering techniques employed to ensure a comprehensive and accurate representation of the broader context.

Investments

1. Hardware:?The foundation of any data-driven strategy lies in robust hardware. Invest in cutting-edge cameras and sensors to enhance data collection capabilities, providing a solid groundwork for informed decision-making.

2. Software:?The investment in sophisticated software tools designed to analyze vast datasets efficiently is equally critical. These tools unlock the potential of collected data, extracting meaningful insights that drive strategic initiatives.

3. Third-Party Data:?Collaborate with data aggregators, telecom operators, and research entities. Accessing third-party data broadens the scope and depth of insights, offering a more holistic understanding of market trends and consumer behaviour.

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Benefits

The dividends of investing in data are multifaceted, offering a transformative impact on business operations and strategy.

1. Reduced Ambiguity:?Data-driven insights mitigate uncertainties, enabling businesses to make informed decisions based on concrete evidence rather than conjecture.

2. Improved Asset Management:?Efficient allocation of resources is facilitated by a granular understanding of data, optimizing asset management strategies for enhanced operational efficiency.

3. Well-Informed Decisions on Digitization:?Strategic investments in digitization initiatives are bolstered by data-backed insights, ensuring a higher likelihood of success and adaptability to evolving technological landscapes.

4. Ability to Measure Every Campaign:?Precise campaign measurement becomes possible through data analytics, allowing businesses to assess the effectiveness of marketing strategies with unparalleled accuracy.

5. Data-Driven Bidding Decisions:?In the dynamic realm of bidding decisions, data-driven approaches enhance precision, maximizing returns on investment through optimized resource allocation.

6. Strengthened Business Propositions:?Businesses armed with comprehensive data enjoy a fortified market position underpinned by a deep understanding of consumer needs, preferences, and industry trends.

7. Transparency & Trust:?Data-driven practices foster transparency, building trust among stakeholders as businesses showcase a commitment to ethical and accountable operations.

8. Inclusion in Campaigns:?Targeted campaigns thrive on inclusivity, made possible by data-driven insights into diverse demographics and consumer segments.

9. Sustained Business Growth:?Ultimately, these benefits culminate into sustained business growth, positioning organizations at the forefront of their respective industries.

10. Pricing: In the past, Out-Of-Home (OOH) advertising pricing was based on assumptions, which made it difficult to determine accurate valuation. However, by incorporating data into the pricing equation, you can achieve precise and objective pricing strategies. For example, a two-tier location may provide higher value for a particular product, better catering to its target market than a standard city billboard. Utilizing data not only allows you to optimize pricing but also provides a transparent and accountable justification for your rates.

11. Bundling: In the OOH advertising world, strategic bundling is a powerful tool for maximizing sales impact. To draw inspiration from successful international players, consider creating audience bundles with distinctive attributes such as youth or female demographics. This approach offers a compelling value proposition, enabling advertisers to efficiently target specific market segments. Embrace the art of bundling to streamline your offerings and deliver a clear, enticing package that resonates with your clients.

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The imperative to invest in data is not merely a trend but a fundamental shift in how businesses navigate the complexities of the modern marketplace. As we stand on the precipice of a data-driven era, strategic investments in data acquisition, analysis, and application emerge as the linchpin for success in a dynamic and competitive business landscape.

Asif Amrohi

Brand | Marketing | Communications | Information Design

1 年

Given the potential India has in terms of OOH this is a must read…brilliant points raised

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