• background image

  • End-to-end data quality

    x

    broken image

    CLEANSE

    Create your data fundations

    Find the dirty data

    Cleanse

    Normalize

    Standardize

    broken image

    PROTECT

    Stop the data leakage

    Define processes to stop
    all dirty data coming
    from multiple external
    and internal data sources

    broken image

    ENRICH

    Add more knowledge

    All relevant contacts,

    IT & Marketing budgets

    Digital data

    Audience data

    Behavioral data

    Intent data

    broken image

    REPORT

    View and review

    Provide instant dashboard

    to show current status

    for each of the business

    datafields

  • CLEANSE

     

    Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning“.

     

    Facts:

    • Marketers need to understand what “sort” of data do they use?
    • Data audit should be done periodically
    • Maintaining a below 10% quality issues must be one of the key marketer targets
    Principle:

    Run full coverage analysis of client CRM on the field per field basis to understand the gaps and identify duplicates

    Run the entire content analysis to determine non-qualitative data:

    • Null, zero, extraneous, missing, etc..
    • Run complete layout analysis to find the missing critical business fields alike industry, activity, number of employees, turnover, etc.. and find out which data field could be useless.
    Benefits:

    You will then know precisely where its CRM content stands for, across these 5 metrics:

    1.Accuracy

    2.Correctness

    3.Current

    4.Completeness

    5.Relevancy

  • ENRICH

    Add more knowledge

    broken image

    Principle

    • Launching multi-channel marketing campaigns requires very precise segmentation of the accounts and contacts you wish to reach.
    • Most marketers use the same logic and data content to create data segments for multi-channel campaigns. Competing sales teams, therefore, have the same means and end up winning based on price alone, considering that the products are similar in quality and features.
    • To overcome this obstacle, we have developed a "Pre-score TAM" service to differentiate you from all market players.
    • Based on your qualified, normalized, and standardized CRM data and based on your business objectives, we add new market- and business-oriented data to each of your company data.
    • Once this data has been added, we calculate scores that are representative of your objectives, allowing you to better prioritize your segments and content...
    broken image

    Benefits

    Your marketing campaigns will be more precise and therefore will provide you back with better results: higher conversion rates by micro-segments, less cost due to higher personalization.

    You will be able to send hyper-personalized campaigns based on :

    • Global rankings, global analytic tags (Alexa, Majestic, Quantcast, Google – Adobe - Tealium tags, etc.)
    • Digital Marketing driven scores (Digital maturity, Marketing budgets, # Marketers, etc.)
    • Technographics (Global web tech spend, global ICT budget, tools used: CDP, CMS, ads, media, etc.)
    • E-commerce (Tools used, languages available, online payment capabilities, etc.)
    • Volume and Diversity (Social network analysis)
Cookie Use
We use cookies to ensure a smooth browsing experience. By continuing we assume you accept the use of cookies.
Learn More