When you see unexpected behaviors in data, you need to be able to answer those questions and drill deeper. The thirst for information is unlikely to be quenched by one static report. — WebsiteMagazine.com, Dec 2015
Deep-dive analytics, such as customer retention, provide visibility into what customers are buying, in what combinations, and how frequently. They reveal interactions between customers and products, and empower marketers to anticipate behaviors, engage customers and reward loyalty.
Today, despite powerful analytics tools and the availability of customer-specific data, many businesses treat top customers about the same as mediocre customers. — Baseline, Nov 2017
Ad Hoc Analytics Deep-Dive — Challenges
Effective use of customer data is a competitive weapon. And more than ever, marketers depend on deep-dive analytics. But, marketers struggle to get that complete customer picture and to understand the nuances between customers and products. Many marketers aren’t sure of the data they have. They don’t believe they have the data they need; and much of what they do have, they question the quality. Or they can’t access.
Less than one in four executives said their firms do collect customer information. Among those that do, more than half said they lack sufficient staff to access customer data and generate business insights. — AccountingWeb, Mar 2013
Deep-dive analytics require exhaustive data management and exploration. These largely hidden data mining processes represent 75% of the analytics work. And exploration impacts the time required to generate analytics. Reporting tools fail when data is either out of reach or too complex. And business analysts are at a disadvantage. They’re not trained to manage complex data structures, or to handle disparate data sources. So analysts and reporting tools create incomplete or error-filled analytics. And executives lose confidence in both data and analytics.
Ad Hoc Analytics Deep-Dive — IDP
At IDP, our goal is to help you with your deep-dive analytics while understanding that you have limited resources. The most critical part of marketable analytics is accurate, reliable supporting data. And we know that your data is a challenge.
IDP removes the requirement that business analysts manage large data volumes or complex data structures. We bridge the gap between data management and analytics. So analysts focus, not on data, but on making recommendations from the statistics.
At IDP, we manage large data volumes with complex structures and we integrate disparate data sources. We build rock-solid analytical data sets. Our data-driven marketing analytics are always designed to your specific requirements. And we always collaborate with marketing executives to generate the right methodologies that produce marketable results.