Tell us about yourself

Please fill out the form below

Company name

Industry

Country

First Name

Last Name

Job title

Email address

Phone number

Select country code

Please use digits

By submitting this form, you agree to have your contact information, including email, passed on to Salesforce for the purpose of following up on your interests

Choose your survey modules

Please uncheck the modules that are not relevant to you

Strategy

Infrastructure

ID Management

Privacy & Compliance

Acceleration

Data Modelling

Data Driven Marketing

Reporting & Analytics

1: Strategy

More info

A data strategy helps ensure that critical data is managed and leveraged like an asset. It provides a common set of goals and objectives across the organization to ensure data is used both effectively and efficiently.

1-1 To what extent does your organization see a need for data strategy?

More info

There is a need for a formal data strategy identified within the organization that shapes the vision for a data-driven marketing.

5 4 3 2 1

Not at allSomewhat Fully

1-2 To what extent do you have your data strategy clearly defined?

More info

Data strategy to set out how you want to use data in practice, clarify your top data priorities, and chart a course for reaching your goals – including what kind of data you need, where you'll source that data, how you'll store and analyze the data, and so on. The data strategy helps you drill down to your core data needs and create an achievable plan for the future.

5 4 3 2 1

Not at allSomewhat Fully

1-3 To what extent do you have your data roadmap defined to achieve matured data operations?

More info

A strong data roadmap is designed to help you chart the path from data wrangling to data success. There are a lot of important steps between those two things... Help you define the objectives of your data program; Identify business problems and solutions; Assess resources and data gaps.

5 4 3 2 1

Not at allSomewhat Fully

1-4 To what extent are you able to measure the impact of your data strategy on business outcomes?

More info

Measurement of the impact of data strategy and execution of plans on business outcomes. A good data strategy will have a significant impact on marketing & sales which will improve overall business results.

5 4 3 2 1

Not at allSomewhat Fully

1-5 To what extent does your data strategy drive business outcomes?

More info

Implementing a winning data strategy has been realized as a business imperative to drive transformation through reduced costs, increased revenue, mitigated risk and improved experience. Having a strong data strategy aligns to each of these core areas because ultimately, it’s an enabler of them.

5 4 3 2 1

Not at allSomewhat Fully

2: Infrastructure

More info

A data infrastructure is a collection of data assets, the technology that manages them and guides that explain how to us the collected data. Design and delivery of an integrated data infrastructure to enable development of 360 customer view & Data Driven Marketing.

2-1 To what extent are you able to integrate data for marketing activities?

More info

Integrated data helps make better business decisions, predictive analysis, identifying data clusters, and managing business processes. Integration can be for some or all the data sources, in real time or batch mode.

5 4 3 2 1

Not at allSomewhat Fully

2-2 To what extent are you able to upload key sources of data in batches?

More info

Batch data integration involves storing all the data in a single batch and moving it at scheduled periods of time or only once a certain amount is collected. This approach is useful if you can wait to receive and analyze data. Batches can be run at varying frequencies from every few hours to days.

5 4 3 2 1

Not at allSomewhat Fully

2-3 To what extent do you have your data sources integrated into a single platform to enable real-time utilization?

More info

Real time data integration consists of gathering and combining information (or data) from different sources. Businesses use data integration to bring together data from various data sources into one consolidated and unified view instantaneously.

5 4 3 2 1

Not at allSomewhat Fully

2-4 To what extent is your data platform able to handle different types of data (structured and unstructured)?

More info

Structured data conforms to a tabular format with relationship between the different rows and columns. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well as photos and videos. The ability to store these two types of data is key to generate insights.

5 4 3 2 1

Not at allSomewhat Fully

2-5 To what extent is your data platform able to provide real-time data to engagement channels?

More info

Real-time delivery of data for personalized messaging, Ads, offers etc. delivered through a variety of engagement channels. The core philosophy can be summed up as “delivering the right message, to the right person, at the right time.”

5 4 3 2 1

Not at allSomewhat Fully

3: ID Management

More info

Customer identity management: the method of connecting a customer's data across every channel — and activating that information into more effective, omnichannel engagements.

3-1 To what extent do you have a unique identifier for each channel?

More info

Unique identifiers can be assigned to anything that needs to be distinguished from other entities, such as individual users, companies, machines or websites. These distinctive values are usually assigned depending on the needs of the specific application, but can either be randomly auto-generated with an algorithm, allocated incrementally or chosen by the user.

5 4 3 2 1

Not at allSomewhat Fully

3-2 To what extent are you able to map IDs across key marketing data sources?

More info

Mapping unique identifiers across multiple data sources allows marketers to understand their customers across a variety of channels. For instance, mapping a customers phone number in one database to their email ID in another one.

5 4 3 2 1

Not at allSomewhat Fully

3-3 To what extent do you have the ability to match unknown and known audiences?

More info

Unknown users interact in various channels or via multiple devices, algorithms are used to match and merge data to the right individual as accurately as possible. The data captured by marketing tools can also be extracted to product customer affinities and attributes that are applied to the profiles.

5 4 3 2 1

Not at allSomewhat Fully

3-4 To what extent are you able to sync IDs from key marketing channels in real-time?

More info

People use different devices, browsers and apps to access a wide variety of products and services online. Given all this cross-device usage means you often have multiple user IDs and device IDs for the same person. All these IDs need to be synced in real time to build a single customer view.

5 4 3 2 1

Not at allSomewhat Fully

3-5 To what extent are you able to map audiences from all channels to a single unique ID?

More info

By consolidating every piece of information about your users mapped to a single customer view, you get a powerful overview of every action they performed – on their mobiles, on your website, or even in your offline store.

5 4 3 2 1

Not at allSomewhat Fully

4: Privacy & Compliance

More info

Data privacy deals with handling data in compliance with data protection laws and regulations and general privacy best practices.

4-1 To what extent have you implemented data privacy compliance based on regulations?

More info

Data compliance is the practice of ensuring that organizations follow regulations to ensure the sensitive digital assets (data) it possesses are organized, stored and managed so that they are guarded against loss, corruption, theft and misuse.

5 4 3 2 1

Not at allSomewhat Fully

4-2 To what extent does your preference centre allow audiences to control their data access preferences?

More info

A preference center or subscription center makes it easy for your audience to modify how you interact with them, instead of opting to unsubscribe.

5 4 3 2 1

Not at allSomewhat Fully

4-3 To what extent can you customize data preference control across channels as per audience preferences?

More info

Managing data, content and channel preferences for the customer helps reduce the risk of non-compliance and improve customer experience.

5 4 3 2 1

Not at allSomewhat Fully

4-4 To what extent is your data audit cadence met?

More info

Conducting a privacy risk assessment: This process will aggregate the data necessary for informed policy and procedure formation and revision.

5 4 3 2 1

Not at allSomewhat Fully

4-5 To what extent have you defined your data compliance processes inclusive of customer segments and regulatory requirements?

More info

Organization's processes designed and assessed to remain compliant with any and all data regulations and data privacy best-practices.

5 4 3 2 1

Not at allSomewhat Fully

5: Acceleration

More info

Cleansed, standardized and de-duplicated database to enable single view of customer to enable personalization and targeting capabilities.

5-1 To what extent have you defined your key marketing and customer experience data points?

More info

The first step towards acceleration is to identify key data points needed for delivering an ideal customer experience.

5 4 3 2 1

Not at allSomewhat Fully

5-2 To what extent do you standardize and cleanse your database?

More info

The aim of the data cleaning and standardisation process is to transform the data to make it consistent, useful to derive insights and enable precise segmentation and targeting.

5 4 3 2 1

Not at allSomewhat Fully

5-3 To what extent do you run data audits on your complete database?

More info

A data audit refers to the auditing of data to assess its quality or utility for a specific purpose. It is an assessment of your data management strategy as well as the actual data with a view to improve the overall quality. Regular data audits to make sure the the quality of the data is maintained.

5 4 3 2 1

Not at allSomewhat Fully

5-4 To what extent are your data cleansing and enhancement processes automated?

More info

Data cleansing & standardization involves multiple steps. Automated techniques can work well at scale as they relieve a lot of time from Data team and help them work towards more important tasks.

5 4 3 2 1

Not at allSomewhat Fully

5-5 To what extent is your data enriched and delivers a 360-degree view?

More info

A 360-degree view of a customer is a collection of all your customer data in one place. From the basic contact information on customers, to the digital engagement data, their past and present purchasing history and interactions with customer service, as well as their social media behavior.

5 4 3 2 1

Not at allSomewhat Fully

6: Data Modelling

More info

Creation of data models based on historical data to identify customer segments and insights to enable better reach, segmentation, targeting & media performance.

6-1 To what level of sophistication is your customer profile based segmentation?

More info

High maturity of profile based segmentation involves multiple customer profile attributes such as city, state, postcode, gender, age, job title, industry, company size etc.

5 4 3 2 1

Not at allSomewhat Fully

6-2 To what extent are you able to execute data models based on customer activity?

More info

Data models created on customer engagement and transaction attributes from multiple channels such as email clicks, web visits, purchase history, etc.

5 4 3 2 1

Not at allSomewhat Fully

6-3 To what extent are you able to design and execute data models based on customer profile and activity?

More info

Data models based on combined customer profile, digital engagement (visits, opens, clicks, views etc.) and transaction data.

5 4 3 2 1

Not at allSomewhat Fully

6-4 To what extent are you able to identify customer behaviour patterns to drive marketing activities?

More info

Data models can generate insights based on customer behavior patterns. With the help of sophisticated tools and models, you can generate granular reports to derive customer insights based on their engagement.

5 4 3 2 1

Not at allSomewhat Fully

6-5 To what extent are your data models integrated to influence experience design in real-time?

More info

Experience design is the practice of designing products, processes, services, events, omnichannel journeys, and environments with a focus placed on the quality of the user experience and culturally relevant solutions. Data modelling can play a major role in informing experience design decisions.

5 4 3 2 1

Not at allSomewhat Fully

7: Data Driven Marketing

More info

Enablement of data driven decision making at every touch point in customer journey by providing the right content/offer/channel to drive better conversion and customer experience.

7-1 To what extent does your data influence your marketing activities?

More info

Basic customer profile or activity data used for marketing operations such as customer segmentation.

5 4 3 2 1

Not at allSomewhat Fully

7-2 To what extent are you able to activate marketing campaigns that combine customer profile and behaviour data?

More info

Activation of marketing segments and campaigns leveraging combined customer profile and customer engagement data.

5 4 3 2 1

Not at allSomewhat Fully

7-3 To what extent do you personalize messaging, offers by customer persona?

More info

Persona-based personalization strategy involves segmenting content by persona, or the characteristics of each persona and delivering a personalized experience.

5 4 3 2 1

Not at allSomewhat Fully

7-4 To what extent do you use insights from historical data to influence campaign plans?

More info

Data driven experience optimization allows businesses to improve the experiences of their customers through controlled experimentation and dynamic experience delivery.

5 4 3 2 1

Not at allSomewhat Fully

7-5 To what extent are you able to optimize your marketing outcomes in real-time with data-driven marketing?

More info

Data driven marketing optimization is the process of improving marketing outcomes to improve effectiveness and efficiency through real-time, on-the-fly fine tuning of campaign and media parameters.

5 4 3 2 1

Not at allSomewhat Fully

8: Reporting & Analytics

More info

Defining and delivering dashboards & reports to enable performance tracking and optimization

8-1 To what extent do you generate batch reports for analysis?

More info

Periodic generation of reports in batches for analysis. No real-time capability.

5 4 3 2 1

Not at allSomewhat Fully

8-2 To what extent do you generate reports and insights in real-time?

More info

Real-time reporting consists of gathering up-to-the-minute data and relaying it to users as it happens. Information is presented in its most current form for managers to easily make quick decisions when under heavy time constraints.

5 4 3 2 1

Not at allSomewhat Fully

8-3 To what extent do you generate reports and insights based on segments and channels?

More info

Customer segment & marketing channels based reports are considered essential tactical analysis tools and are often used by managers to optimize products, services, sales and marketing strategies.

5 4 3 2 1

Not at allSomewhat Fully

8-4 To what extent do you generate reports and insights to inform future decisions?

More info

Forecast report provides a way to view and compare your engagement, pipeline, sales, and projected sales and other metrics.

5 4 3 2 1

Not at allSomewhat Fully

8-5 To what extent are you able to use machine learning to identify trends and predict outcomes?

More info

Machine learning model predictions allow businesses to make highly accurate guesses as to the likely outcomes of a question based on historical data.

5 4 3 2 1

Not at allSomewhat Fully

Database Maturity Evaluator

Tell us about yourself

Please fill out the form below

Choose your survey modules

Please uncheck the modules that are not relevant to you

1: Strategy

More info

More info

More info

More info

More info

More info

2: Infrastructure

More info

More info

More info

More info

More info

More info

3: ID Management

More info

More info

More info

More info

More info

More info

4: Privacy & Compliance

More info

More info

More info

More info

More info

More info

5: Acceleration

More info

More info

More info

More info

More info

More info

6: Data Modelling

More info

More info

More info

More info

More info

More info

7: Data Driven Marketing

More info

More info

More info

More info

More info

More info

8: Reporting & Analytics

More info

More info

More info

More info

More info

More info