Overview Ad Hoc AnalyticsIDP delivers data-driven marketing solutions with a focus on data integration, ‘invasive’ data management and deep-dive data mining. Our ad hoc analytics are always designed to your specific marketing strategies.

Personalisation is a key battleground in the war for customer loyalty. It is one which many retailers are talking about but very few are using to its full potential. Retailers may talk about personalisation but how many are really ready to get personal? — EIN News, Jan 2017

Customers want relevance. And they expect marketers to know what they want next. Customers are unforgiving of poorly targeted campaigns. They realize the value of their data and expect brands to do something smart with it. And yet, marketers fail to get the analytics they need for targeted engagements. The roadblock isn’t statistics, but efforts to integrate data into actionable data sets used to generate analytics.

There are five determinants of data quality: completeness, consistency, accuracy, validity, and timeliness. If the data fails any of these, a marketer is in danger of skewing his or her interpretations. The ability to accurately compile, comprehend, and apply relevant data is a critical skill for today’s marketers. — MarketingProfs, Nov 2017

Marketers dream of leveraging transaction data to get a panoramic view of customers. They want to track shopping behaviors and engage customers with relevant offers on items customers care about. Methods like segmentation, or recency, frequency, monetary (RFM) uncover powerful behavior patterns and define customer lifecycles. With these ad hoc analytics, marketers reward the right behaviors and stop money-losing behaviors.

We all know that you can’t send an algorithm over raw data and have insights pop up. And that’s the challenge. Data complexities and data volumes frustrate marketers. Many aren’t sure of the data they have. They don’t believe they have the data they need; and what they have, they question the quality.

A problem marketers run into is that they don’t have the skillset to understand and manage data, along with properly running tools to analyze and gather data. With data, you’re able to identify a problem. But, you need to explain how you’re going to resolve that problem. — Forbes, Oct 2015

Also, in-house reporting tools don’t generate the deep-dive analytics required. And business analysts, who might be wizards in Excel, aren’t trained to manage complex data. So marketers fail to get the insights they need and lose confidence in both reporting and data.

Overview Ad Hoc Analytics — IDP

Overview Ad Hoc AnalyticsYour data is challenging: out of reach, fragmented, or too complex for your business analyst. And you have limited resources. At IDP, data integration, ‘invasive’ data management and deep-dive data mining deliver rock solid analytics.

Far too much handcrafted work — what data scientists call ‘data wrangling’, ‘data munging’ and ‘data janitor work’ — is required. Data scientists spend from 50% to 80% of their time mired in this mundane labor of collecting and preparing unruly data. — New York Times, Aug 2014

Data preparation can take 75% of the analytics process – a huge time impact. In fact, for an eight hour analytics process, six hours are spent preparing the data; only two hours are spent on actual analysis.

IDP removes the requirement that business analysts manage unruly data — bridging the gap between data management and analytics. We manage fragmented data volumes and complex structures and integrate disparate data sources to build rock-solid analytical data sets.

And we always collaborate with marketing to generate actionable analytics. Analytics that dissect customer information, identify, develop and validate buyer behaviors, and transform these insights into marketable strategies.

With rock-solid analytical data sets, ad hoc analytics become much, much easier!