Nandu Patil is a Senior Analytics Consultant at CVS Health.
He is a systems thinker with a flair for data strategy. He specializes in deducing measurement and optimization frameworks by employing multi-modal research approaches and disparate data sources to deliver actionable insights.
N.P.: In my role, I help our teams build, measure and optimize the campaigns by using multi-modal research approaches, novel datasets, and triangulating across data sources and methodologies.
What I have learned is that not everything that needs to be measured can be quantified, and not everything that can be quantified needs to be measured. Knowing the difference between what you can potentially measure and what you should measure is, in itself, one of the greatest drivers of success.
N.P.: Looking at data before executing a campaign helps you a lot. At CVS Health, we start with gleaning the insights from media conversations and audience profiling. Getting to know our audiences before we launch a campaign helps our teams finetune messaging and targeting.
Whatever initiative or campaign, you need to have the clear objectives in place beforehand in order to have a measurement plan. In that way, it becomes a lot easier to reach goals, not vanity metrics, but the success that matters.
N.P.: Share of attention – Focusing on curated audience segments
To support our strategy, I like to use a combination of metrics that essentially joins 'share of voice' with 'impressions'. 'Share of voice' is good, but it was not enough to help us get the laser-focused analysis that we need. With 'share of attention', we are able to take a closer look at mentions while cutting through the noise and narrowing down the audience. Gleaning the insights from to specific audiences with the help of analytics helps our communications team gain better results.
N.P.: Yes, although challenging and sometimes even misleading, sentiment analysis can indeed be meaningful. Let's take the example of the recent global pandemic. 'COVID-19' is an issue that can drive negative sentiments. However, there are a lot of positive and more nuanced discussions that are harder to be captured solely through sentiment analysis.
This is why I prefer to use weekly rolling averages and identify fluctuation patterns, rather than actual sentiments.
N.P.: Exactly. Working in Communications, I have experienced that it is challenging to quantify efforts and success measures because the majority of metrics we care about are qualitative, not quantitative.
Anchoring is the first part. The second part is the application of analytics and insights.
N.P.: At CVS Health, being an integral part of the development of strategic initiatives by providing the measurement framework to inform our enterprise communications teams is the most rewarding feeling. The measurement framework focuses on two things I care about:
This is an incremental and iterative process and builds upon itself.
Combining performance and perception is really powerful because it essentially helps us know if we are moving in the right direction.
N.P.: Business teams need to strategize and set their objectives by taking metrics and KPIs into consideration at the onset of campaign building.
The quality and potential of data, once recognized and tied to the overall business strategy, helps analytics teams make recommendations and lay down the path to measure and optimize efforts.
N.P.: The success of analytics teams and their projects does not solely depend on the number of reports built or volume of insights generated.
For an analytics team to be successful, it requires a process and ecosystem which fosters insights development. Fortunately, we have that at CVS Health and it has allowed us to derive data-informed strategies.
Setting up measurable and data-supported objectives.
It's impossible to accurately assess performance if you solely look at the business application of analytics without evaluating the system currently in place for utilizing and implementing those insights.
N.P.: LinkedIn is a valuable source. Fellow analysts write a lot about different topics, problems, and solutions that they are facing.
I also enjoy following blogs, as well as reading relevant whitepapers and case studies from people in the industry. PR week, Cision, and W20 are some of my go-to sources.
N.P.: They should learn more than just the technology. Think about the different ways of deriving solutions and applications of data techniques. Analyzing data and extracting insights is only half the job; being able to associate it with the business success driver is the other.
Don’t just learn how to use the tools, look at what problem your company or industry solving. Building a good model or having campaigns that work fine are not enough if you don't solve the core challenge or reach the right audiences