Data Integration – The Value from Listening

Part 2: Value of Listening

Part one of Anexinet’s big data series focused on the importance of listening to unstructured data. Part two of the series dives deep into Data Integration. First and foremost, what is data integration and more importantly why should you care about it? In short, data integration combines data from previously isolated sources and turns it into meaningful and valuable information. A complete data integration solution delivers trusted data from a variety of sources to ultimately yield powerful business insights.

We will not focus on the technical aspects of data integration, instead we will detail key challenges of data integration and how the results from unstructured data listening can be integrated with more traditional structured data sets to provide a complete view of your customers.

A key component of data integration is deciding which data sets to use and how to integrate them. It is critical to identify the key business questions that need to be answered and which fields can be combined across different data sets to answer those specific questions.

Concerns about data access, security, and storage are the common obstacles that clients face in this type of data integration. We recommend a flexible service approach that includes on premise, cloud, or hybrid implementations. Every data set is unique and requires compatibility with various platforms and technologies to handle both the integration and output of the data. The output of this integration can vary from dashboards to reports. A flexible approach to the technologies involved and how they are deployed is the best way to ease any data access, security, or storage concerns.

An additional challenge with integrating unstructured data is that it is complex and messy. One of the main outputs of “listening” to unstructured data is ultimately providing structure to the data by categorizing and filtering the data. Once the unstructured data is categorized into a structured data set, it can then be more easily integrated with other data sets to answer specific business questions. Next we will highlight a few simple data integration examples.

Using their proprietary methodologies, ListenLogic independently tracked conversations from patients regarding switching from Byetta to Victoza occurring on open social media over the course of 8 months. As a secondary data set, ListenLogic overlapped Victoza’s estimated Rx data, which would have been delivered on a 2-3 week lag.

In the chart below, the orange line shows online patient conversations discussing switching (SC) from diabetes brand Byetta to Victoza on a daily basis. The green and pink lines show the estimated scripts filled per week at the pharmacy. Data shows an acceleration of switching conversations in July and Aug before the script data is available, which ultimately could be used as a predictive indicator.

Victoza Byetta Switching Rx

Separately, Listenlogic also tracked an active OLM campaign for one of the products, looking at the co-presence of the campaign with mentions of switching. By linking multiple data sets together, they were able to evaluate the possible impact of that specific campaign.

A second example of data integration is focused around an end-to-end managed services solution that integrates a client’s existing vendor data into interactive brand dashboards that:

  • Track overall brand awareness across offline/online channels
  • Calibrate ATUs with sales (Rx), claims, social media, web traffic, and search data
  • Create “scoring metrics” by weighting different data sets
  • Store offline brand reports in a central database for trending
  • Provide access to all appropriate brand stakeholders for continuous insight

Integrating this data allows brand teams to turn “offline” legacy reports into interactive dashboards that calibrate both internal and external data such as sales, claims, social, call center and other key performance data while giving organizations the ability to neatly store and track historical data.

Dashboards and reports are also easily customizable, allowing end-users to view an array of combinations of data through multiple visual representations, such as:

ATU Integrated Data Analytics

ATU Integrated Data Analytics

No one will disagree that data is the pulse of a business’ lifeline, and it is growing at an exponential rate. Harnessing the power of this data is crucial to the success of your business!

We will wrap up this series with an in-depth look at the ongoing implementation of integrated data solutions into your business. We will explore how companies can leverage integrated data on an on-going basis from full service solutions to API feeds back into your current systems.

Listening Report Features ListenLogic

ListenLogic advanced social intelligence solutions are profiled in the most recent Gleansight Benchmark Report on Social Listening. The report compiled by Gleanster Research, reviews “the art and science of social listening” and examines the enabling technologies, analytic capabilities, business processes, organizational resources and corporate cultures they’re putting in place to maximize the value of their investment in this initiative in order to to achieve their objectives and ultimately drive increased shareholder value.

The Gleansight Report points to ListenLogic’s pioneering solutions with comprehensive social media monitoring capabilities and provides an overview of the company’s extensive experience delivering advanced social intelligence to leading corporations. The report also features ListenLogic’s unique “approach of combining social media monitoring tools with human filtering.”

The report also highlights ListenLogic for its focus on the pharmaceutical and healthcare space, pointing to its social intelligence product suite tailored to the industry. As the report also states, ListenLogic has been quite successful in carving out a nice around generating insights from patient-to-patient conversations.

More information on the Gleanster Social Listening Report can be found here.

Expert Insight: Social Insight’s Impact on Marketing

Mark Harrington
Chief Marketing Officer
ListenLogic

Through engagement with many of the world’s leading brands across a myriad of industries from food to pharmaceuticals, we often get an array of insightful questions about social intelligence and the threats and insights that come from the open social universe. Given this, we’ve tapped some of our experts to periodically provide insight on questions surrounding social risk and social intelligence. Our Chief Marketing Officer, Mark Harrington, oversees ListenLogic’s marketing, content and communication initiatives and is a guest columnist for publications like Social Media Today, Direct Marketing News, Marketing Profs and Business2Community.

With the wide spectrum of insight social intelligence provides to brands here are some recent questions on impact to Marketing:

What’s the most valuable insight social data can provide to Marketers? -Ashley H.

The biggest overall value from social intelligence is probably the fact you can understand the behaviors and preferences of millions of shoppers and consumers without ever asking a question. The ethnographic approach in itself has value just in observing individual behaviors across such a massive population. But I think the question wants a bit more specific of an answer. I think it’s hard to boil it down to just one, but getting very deep into consumer personas and corresponding activity and behavior has incredible value for product positioning, messaging and campaign development. Here is a review of five innovative insights I think provide tremendous actionable value to Marketers.


What do you find is the biggest challenge for Marketers to embrace social insights? – Will K.

First, it’s a new realm, which tends to come with initial hesitation. Second, hearing “social media” and “big data,” which are both often nebulous terms, can be daunting. But once marketers see the tangible, actionable insight that can be extracted from billions of social conversations they get it pretty quickly. When you work with Insight and Research professionals who have been doing this for decades and or have PhDs in the realm and they see insight applied and react by saying, “I never knew this was possible,” it’s eye-opening. I know personally using surveys and focus groups for companies like eBay and Citi, I certainly wish I had access to this type of data for the speed and depth of the intelligence it provides. The impact is impressive, so much so that were even seeing traditional industries moving to adopt it because the insight is so actionable.

If you have a question related to social intelligence or social risk send it info@listenlogic.com.

Expert Insight: Understanding Social Intelligence

Mark Langsfeld
Co-Founder, Chief Strategy Officer
ListenLogic

Through engagement with with many of the world’s leading brands across a myriad of industries from food to pharmaceuticals, we often get an array of insightful questions about social intelligence and the threats and insights that come from the open social universe. Given this, we’ve tapped our Co-founder and Chief Strategy Officer, Mark Langsfeld, to periodically provide insight on questions surrounding social risk and social intelligence. Mark oversees ListenLogic’s Business Intelligence Command Center (pictured), the largest and most advanced of its kind in the world.

If you have a question related to social intelligence or social risk send it info@listenlogic.com.

As social media continues to grow exponentially, our team is regularly asked about the fundamentals of social intelligence. Here are a few questions of interest on the topic:

There’s growing talk about “social intelligence,” but what is it exactly? -Anthony G.

Social intelligence is basically advanced, strategic insight derived from the billions of daily discussions across the open social universe. Rather than looking at a specific, predefined keyword list against a small sample of social media like traditional social listening tools do, true social intelligence solutions view the expansive open social universe using concept models to detect known and unknown items and issues, which can be opportunities or threats to the business.

The biggest value of social intelligence is tied closely to the actionability of the insight – can a brand guide their decisions, set their strategy or drive their innovation with the specific intelligence? This is a critical focus for what our team delivers.

What’s the difference between social monitoring and social intelligence? -Michelle F.

Social intelligence goes way beyond first generation social listening tools to deliver actionable, strategic insight to corporations to set strategy, guide decisions and drive innovation. A variety of advancements have driven the evolution of social intelligence. First, streaming supercomputing big data processing allows for a holistic view of the open social universe in place of the narrow samplings social listening tools monitor. Second, complex concept modeling allows for more accurate detection of opportunities and threats, beyond preset traditional keyword lists used by self-service social tools.

Social monitoring is typically a self-service tool used to gauge customer sentiment or “buzz.” The problem with “buzz” is with its accuracy and dependability. The shifting lexicon of consumers makes interpreting sentiment very difficult for simple keyword solutions. The difference between social intelligence and traditional social analytics is that the ability to process billions of daily social discussions allows for the tracking of sentiment to go much deeper on a much more sophisticated level. Instead of simply high-level sentiment displaying whether consumers like a company or brand, social intelligence allows for targeted sentiment around specific features and attributes of a brand, making the intelligence actionable and valuable for marketers.

Do you have some special tips for brands, that wants to improve their social intelligence? Where should they start? -Daniel I.

We get this question a lot from leading brands. At some point many brands realize that their social tools are not delivering accurate, holistic views, and the information they are getting is typically not actionable. The first step is deciding how the brand wants to use the intelligence. Is it to drive sales and revenue? Is it to identify emerging threats? Whatever the objectives, companies that opt to get serious about the social intelligence around their business should look to find a solution with supercomputing capabilities, able to process the billions of daily social conversations being produced. Social is now a big data problem, light years beyond “buzz.” Many brands realize that this type of technology and expertise is not in their core competencies as a business and would require massive investments in technology development and personnel, so finding the right partner for them is critical.

-LL-

Pharmaceutical Social Threats Continue to Grow

The exponential expansion of social media has introduced a growing spectrum of threats against corporations hidden deep within billions upon billions of daily social discussions. Specifically, within the health and pharmaceutical industry, are an array of emerging risks threatening companies coming from patients, activists, influencers, regulators, criminals and even competitors and originating from all corners of the open social universe.

Below is a review of major emerging risks from the open social universe that targeting the revenue and reputations of pharmaceutical and healthcare companies on a regular basis.