A Single Customer View (SCV) is defined as a single, consistent, accurate, and holistic view of your organization’s customers and their data. This accumulation of customer data is also referred to as identity resolution. This data may include contact information, postal address, personal details, and demographic information.
Building an SCV connects various sources to elevate data quality and achieve a single source of trusted data. This helps businesses gain a deeper understanding of their consumers and their preferences as it provides a highly accurate extensive consumer profile fit for your business purpose. High-quality data across your business supports:
A common challenge to businesses is managing multiple disparate datasets simultaneously. This can prevent your organization from clearly understanding who your customers are, how they are engaging, and what they care about. Data inaccuracy often poses challenges such as:
Aperture Data Studio helps businesses profile their existing data, identify duplicate records, and harmonize them together to create a consolidated SCV of all data related to the customer across all databases and systems.
What does your data landscape look like? How many source systems do you have? Does data need to be consolidated? Who will use the data and in which format? Consider if you would like to track changes over time and if stakeholders or colleagues need to be updated on a regular basis. Aperture Data Studio offers different functionality to fit your needs.
To create a Single Customer View in Aperture Data Studio, you can upload data or connect to an external system such as a cloud file store or a database.
Before creating a Single Customer View (SCV), profile your data. Profiling is the process of analyzing your current data to determine its quality and understand its deficiencies, for example incomplete or incorrect information, inconsistent formatting and standards, duplication of records.
Profile results are interactive and you are able to drill into the data and view percentage distribution showing a clear presentation of the dominant items. Profile statistics can be quickly converted into validation rules. This will help you use your data to its maximum potential.
To present data in a format that is more suitable for analysis or further processing, Data Studio offers a number of transformation options. You can manipulate and configure your data by choosing which columns to edit, adding or removing columns, and applying transformations to them using native or custom functions.
Use format validation functions to validate if inputs are formatted correctly, for example bank card numbers or postal codes of a specific country. Use cleanup functions to parse, extract values, remove noise or whitespace.
Once the data has been profiled and transformed, it’s important to verify its accuracy and ensure it is consistently and correctly formatted. Data profiling, transformation for consistent formats, and validation together help ensure the highest quality data is maintained for future use. By doing so, organizations can ensure that their data is reliable and ready for effective utilization.
Data Studio offers recommendations for data-driven validation rules leveraging insights from data profiling activities. You can also build your own customized Ruleset and reference them wherever needed to perform consistent data quality validation. In addition, Aperture Data Studio allows contact data live validation services that return information if customers’ phone numbers and email addresses are live and contactable.
After validating your addresses, the deduplication and harmonization processes determine if records with similar names or addresses refer to the same entity or to separate ones. This could be crucial for delivery businesses to optimize the number of successfully completed deliveries.
Dashboarding capabilities allow you to create customizable collections of widgets that provide useful information about your data in the form of charts, views, or datasets.
Incorporating our licensed Pushdown Processing module will amplify your data efficiency and optimize business workflows involving very large amounts of data. Profile, validate, and transform billions of records in minutes, at data source while maintaining visibility over the results in Aperture Data Studio.
Data processing directly at the source minimizes the need to transfer large datasets across systems ensuring high security. It is a cost-efficient way to perform repetitive data quality tasks directly at source. Pushdown processing in Aperture Data Studio finds its best application in processing data coming from a single source.
Realtime Workflows is an Aperture Data Studio licensed module that allows you to validate incoming records immediately upon receipt, apply your business wide validation rules and then correct (transform) them into the required format before they enter the CRM system. This ensures that data quality is applied from the start.
A further potential step to elevate operational data quality is establishing a powerful governance framework that leverages and regularly monitors data as an asset. Integration of our Data Catalog and Governance module unlocks these capabilities. It enables users to catalog their data assets, create a common understanding of terms, set ownership and accountability and monitor data quality results in the context of business impact.
Our Data Catalog and Governance module enables you to create a logical overview of your data to help you understand and control what data assets your organization holds and how they are governed. It plays an essential role in maintaining compliance and efficiency of data quality processes.
