An analyst’s job is very similar to that of an expert angler. While anyone can find small fish in shallow pools (surface level metrics), to find the prize catch (data that impacts bottom lines) you have to go into deeper and, at times, dangerous waters. With data lakes getting bigger and murkier (fragmented data sources), the challenge today for analysts is not only to get accurate and contextual data in real time but also socialise it in an easily consumable format. This blog explores the challenges data analysts face today and how they can maximize their outcomes with the right tools.
In This Blog You’ll Find:
- Challenges Data Analysts Face Today
- Essential Insights Data Analysts Need to Maximisie Ad Revenue Success
- A True Co-Pilot For Analysts To Drive Data-Led Growth
Challenges Data Analysts Face in Ad Monetisation Businesses
- Fragmented Data Sources: Data is often spread across multiple platforms (ad servers, CRMs, analytics tools, social media platforms, and partner systems). Consolidating this fragmented data into a single view is time-consuming and prone to errors.
- Lack of Standardisation: Different platforms use varying formats, metrics, and taxonomies. This makes it difficult to establish consistent KPIs and evaluate performance across campaigns.
- Real-Time Insights: Media campaigns require real-time or near-real-time adjustments to optimise performance. Achieving this speed while maintaining data accuracy is challenging, especially with legacy systems.
- Scalability of Analytics Infrastructure: With the growing volume of data generated by media campaigns, ensuring analytics systems can scale to process and store this data without compromising performance is critical.
- Data Privacy and Compliance: Stringent regulations like GDPR, CCPA, and others require media houses to ensure compliance, especially when dealing with user-level or sensitive data. Analysts must strike a balance between actionable insights and respecting privacy laws.
- Attribution Complexities: Determining the true contribution of various channels, campaigns, or touchpoints in a customer’s journey is difficult. Multi-touch attribution models can be resource-intensive and are often inaccurate.
- Visualising and Socialising Data: Data analysts often struggle to create intuitive dashboards and reports that can be easily understood by non-technical stakeholders, slowing down decision-making.
- Keeping Up with Technology Trends: New ad tech, martech, and analytics platforms are constantly emerging. Staying up-to-date and integrating the latest tools to remain competitive is both time-intensive and costly.
What Essential Insights Do Data Analysts Need from Their Data?
Data analysts need to answer these questions frequently:
- How are our key performance indicators (KPIs), like CTR, CPMs, etc, performing?
- Which channels or platforms drive the most value?
- What trends or patterns can we identify in audience behavior?
- Where are the inefficiencies or bottlenecks in our campaigns?
- How can we predict future performance or outcomes?
- What actionable steps can improve our strategy?
Introducing Voiro Genie – A True Co-pilot for Data Analysts
For the past 10 years, Voiro has worked with leading media and retail companies to understand the needs of data analysts. Voiro Genie, designed specifically for media and retail businesses, addresses these pain points by transforming complex data into actionable insights seamlessly.
Key Benefits of Voiro Genie for Data Analysts
- Cross-Platform Data Unification: Genie consolidates data from various platforms, making it easier for teams to track campaign performance, forecast inventory, and optimise yield across different ad channels without the hassle of reconciling data manually.
- Real-Time, Contextual Insights: With Genie, analysts gain access to real-time data on revenue and performance metrics, enabling faster and more informed decision-making for optimising campaigns.
- Standardised Data and Metrics: Genie’s ability to harmonize disparate data into standardized KPIs ensures clarity and consistency across all reports, eliminating confusion and enhancing cross-team collaboration.
- Intuitive Reporting: Leveraging advanced algorithms, Genie provides recommendations specific to the user’s environment, helping analysts understand trends and optimize future campaigns with confidence.
- Ease of Socialisation: Genie simplifies reporting with an ask-and-answer template, making it easier for analysts to communicate insights to stakeholders quickly and effectively.
Conclusion
Built on Voiro’s unmatched expertise in monetisation data workflows and deep understanding of publishers’ and retailers’ needs, Voiro Genie transforms how media businesses harness their data. Designed to empower data analysts, Genie overcomes common challenges by delivering faster, contextual insights and unlocking the predictive capabilities essential for staying ahead in a competitive landscape. With Voiro Genie, business leaders can uncover the story behind their data and make smarter, quicker decisions that drive results.
Want to see Voiro Genie in action? Check out Voiro Genie and book a beta test or write to us at marketing@voiro.com.
