WIDE RANGING OUTCOMES WITH HIGH RETURN ON INVESTMENT (ROI)
Much better data quality and smartly integrated across a mix of common Cloud and local systems.
More efficient use of existing systems including CRMs loaded with more data.
Improved marketing engagements.
Acquiring new customers.
Increasing retention / return rates.
Enhancing cross-selling and up-selling.
Making CRM systems work better for your business.
Control of expanding IT costs, balancing past expense with lower cost and robust future Cloud services.
EFFECTIVE DATA SERVICES
Whether you are in business to consumer (B2C) operations – such as retail, tourism and leisure, fashion and e-commerce – or in business to business operations (B2B) such as food and drink distribution and professional services, we help companies to:
Examine business objectives, identifying operational constraints with a focus on the intelligence needed, data quality and what’s missing.
Relate these to your need for better quality and more accessible information, creating manageable small steps with defined return on investment (ROI’s).
Gather and integrate even the smallest static data sets taken from spreadsheets, collected at booking points by PDQ terminals, held in CRM and ERP systems, recorded by accounting and e-commerce systems, stored in web systems such as WordPress or fed from large dynamic data feeds of social media scans and remote high speed collection from telemetry devices (known as the Internet of Things or IOT).
Align the data to our special industry sector data models.
Fix poor data quality – filling gaps, enhancing postcodes, addresses, salutations, email addresses and social media labels – then returning into existing systems.
Integrate and standardise diverse data sets to get a common understanding across all systems.
Exploit social media better, by enhancing knowledge of Twitter, Linkedin or Facebook users and other social media channels to target better.
Apply and cross match demographic factors on property values, wealth indicators, population densities and age profiles.
Incorporate at detailed data field level, detailed outputs from field research such as Survey Monkey research and other data sets e.g. ONS and Census.
Analyse and rank key discriminators by filtering out key items, creating probability algorithms for targeting.
Develop high quality data visualisations to excite and share key intelligence with managers, especially sales, marketing and finance.
Assist internal marketing departments – or their marketing agencies – creating new campaigns or analysing segments and brand penetration.
Store the resultant data securely in either new data models on in-house servers, or in secure cloud locations with on-line intelligence access – bespoke to each client.
Ensuring throughout that you adhere to full Data Protection guidelines and opt-in legislation – policies checked by our Data Protection barrister.