DataOps Powered Customer Data Platform Solution

Customer Data Platform conquer

Conquer These Eight Challenges

As a CDO, VP or Director in charge of analytics it is your job to help your business partners drive growth and analytics play a key role. Do you find yourself thwarted by these challenges?

  • Too much work
    You cannot keep up with the requests from your business partners and they are getting frustrated.
  • Data Errors
    Data will eventually contain errors, which can be difficult to resolve quickly.
  • Bad Data Ruins Good Reports
    When data errors work their way through the data pipeline into published analytics you lose credibility.
  • The Goalposts Keep Moving
    Your world is demanding and dynamic. Requirements from sales, marketing and executives change constantly and the requests for new analytics never cease.
  • Multitude of Tools
    Your shop uses numerous tools, languages and technologies. The pitch from third party vendors to standardize around one tool or technology for all your needs is impractical.
  • Data Pipeline Maintenance Never Ends
    Every new or updated data source, schema enhancement, analytics improvement or other change triggers an update to the data pipeline. These updates may be consuming 80% of your team's time.
  • Manual Process Fatigue
    Manual procedures for data integration, quality assurance and deployment of new analytics are error prone, time-consuming and tedious.
  • Cloud Technology
    The cloud offers significant benefits, but migrating to the cloud is a daunting task.

How to succeed

Customer Data Platform Success

As the leader of a data-analytics organization, your mission is to utilize data from various sources to create insights that help the organization achieve its objectives. To do this you need a single integrated high-quality data set that contains all customer data across all channels. This data needs to be under your control and must be able to be updated rapidly with a simple phone call or email.

You need a DataOps-powered Customer Data Platform (CDP) with these five components:
1. Data Analysts and Their Tools
2. Data Engineers and Their Tools and Databases
3. Data Operations
4. Agile Team Management
5. DataOps Platform

Customer Data Platform analytics leader

1. Data Analysts and Their Tools

The Data Analyst (and Data Scientist) works to satisfy the needs of the sales and marketing business partners by continually delivering insights. The data analyst creates visual representations of data to communicate information in a way that leads to insights either on an ongoing basis or by responding to ad-hoc questions. With a DataOps-powered CDP, data analysts work with autonomy and speed, drawing analytics from CDP data. Analysts use self-service BI tools like Looker, Tableau and Alteryx to create these insights.

2. Data Engineers and Their Tools and Databases

The Data Engineer works with the IT department and all data source providers to develop automated processes that move data from various data sources into a trusted, integrated CDP database under the complete control of the data-analytics team. The CDP database may include a data lake, which provides revision history, easy access, control and error recovery. The engineer writes transforms that operate on the data lake, creating data warehouses and data marts used by data analysts and scientists. The data engineer also implements tests that monitor data at every point along the data-analytics pipeline assuring a high level of quality.

3. Data Operations

The DataOps-powered CDP provides automated support for the creation, monitoring and management of the end-to-end data pipeline. This includes stewardship of every aspect of the journey from data sources to reporting. Data quality tests monitor each stage of the automated pipeline, alerting data engineering when data fails to meet statistical controls or business logic.

4. Agile Team Management

The Agile methodology governs the creation of new analytics, producing a steady stream of valuable innovations and improvements to analytic insights in short increments of time. Agile is particularly effective in environments where requirements are quickly evolving — a situation all too familiar to data-analytics professionals. In agile analytics, the unit of measure that demonstrates progress is working analytics.

5. DataOps Platform

The various methodologies, processes, people (and their tools) and the CDP analytics database are tied together cohesively using a technical environment called a DataOps Platform.

The DataOps Platform includes support for:

  • • Execution of the data pipeline (orchestration) to keep the data up-to-date
  • • Deployment of new analytics
  • • Testing and monitoring of data quality
  • • Management of development and production environments
  • • Source-code version control
  • • Data Operations reporting and dashboards

DataKitchen DataOps-CDP Solution

DataKitchen offers the DataOps Platform as well as managed services for each of the dark green boxes in the figure below. In essence, DataKitchen offers all aspects of the DataOps-powered CDP except for data analysis and data science, which rely upon vertical market expertise and close collaboration with your business partners.

Once set-up, the operations of the DataOps Platform can be easily and seamlessly transitioned to an internal team.

Customer Data Platform Data Engineer

Find out More

Customer Data Platforms promise to drive sales and improve the customer experience by unifying customer data from numerous disjointed operational systems. As a leader of the analytics team, you can take control of sales and marketing data by implementing efficient analytics-creation and deployment processes using a DataOps-powered CDP. A DataOps platform makes analytics responsive and robust. This enables your data analysts and scientists to rise above the bits and bytes of data operations and focus on new analytics that create value for your organization.

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