Welcome
Test The Proficiency Of Your Data Warehouse And Analytics Environment
Actionable data insights are critical to all organizations, and in today's world, gaining these insights while increasing agility becomes even more imperative. However, firms have notoriously struggled with gaining control of these insights — accessing the right data, presenting it at the right time, and distributing it in the right format to necessitate action have all been points of conflict. How well is your organization navigating its data processes? Take our short self-assessment to find out.
The assessment will yield results and recommendations based on your responses and should take no more than 2 minutes to complete.
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“Our data ingestion from all sources essential for analytics can be done as fast as the business requires.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“Our data transformation process is done as fast as the business requires.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“Our data integration is done in real time and on an on-demand basis across various data sources.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“Our data ingestion, transformation, and integration is done in a self-service manner (for business users and technical users) and with a high degree of automation.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“We leverage all data quality management best practices including full cleansing of sources, data quality KPIs, and trusted data initiatives.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“We focus on conceptual/logical data modeling before physical modeling to avoid errors, improve quality, etc.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“Our data governance focuses on each line-of-business requirement, consolidated at the enterprise level (hub-and-spoke model).”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your data warehousing:
“We have full data security and privacy features and functionality in the data warehouse to protect all data.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your analytics:
“Most enterprise knowledge workers utilize enterprise analytics tools/applications to generate insights for most business functions.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your analytics:
“Our analytics tools allow knowledge workers to explore data/discover insights without predefined paths (e.g. canned queries, prewritten reports, IT-created scripts).”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your analytics:
“Our analytics tools leverage the latest advances in data visualization and conversational user experience (UX).”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your analytics:
“Our analytics tools allow all roles (IT, data, and business) to collaborate across the enterprise for collective decision-making.”
Questions
Please select the option that best describes your current capabilities for the following statement regarding your analytics:
“We utilize systems of insight to harness insights and consistently turn data into action.”
(We define systems of insight as signals from data turned into insights, triggering actions that affect tangible business outcomes.)
Questions
Please select the option that best describes your current capabilities for the following statement regarding your analytics:
“We can use the insights we draw from our analytics to consistently affect tangible business outcomes.”
Results Overview
Results Overview
As part of their digital transformation agenda, organizations need the ability to quickly and efficiently turn all essential data into actionable insights and focus on improving both core business functions and competitive advantage while driving innovation.The transformation cannot be fully successful if the organization is constantly distracted by dealing with technology and integration challenges. To reap the most business benefits and realize them faster, organizations must excel at both data warehousing and analytics, not just one or the other. The goal is to be proficient in both capabilities, and a lower score in one or the other indicates where an organization should emphasize and prioritize investments and improvements.
Based on your responses to the survey questions, you have scored:
Your data warehousing result: on the right trackneeds improvementYour analytics result: on the right trackneeds improvement
Recommendations
Data Warehousing: Needs Improvement
Your score means your data warehousing technology and architecture needs improvement.
- Your current platform is not likely to meet the current analytics demands for your business, putting your enterprise at a competitive disadvantage.
- Your platform may not support real-time processing therefore slowing down timely insights.
- Your data transformation and integration functionality may be lacking self-service capabilities.
- Your data quality practice may not be comprehensive enough, especially when dealing with new types of data including real-time data.
- Your data modeling approach focuses on physical data modelling of mostly static data and may not account for real time data, nor improve model quality via conceptual/logical modeling.
- Your data strategy may lack full data security and protection that may be impacting broader analytics use cases.
You may need to upgrade to a more modern data warehouse platform which support real time updates, self-service data management, data, governance, and integrated analytics. Consider:
- Partnering with systems integrators experienced in architecting and deploying modern integrated data management, data governance and analytics platforms and solutions.
- Investing in integrated data warehouse and analytics platform and solutions that minimize integration effort and facilitate frictionless real time trusted data flows and integrated insights.
Data Warehousing: On The Right Track
Your score means that your data warehousing and architecture are on the right track! For continued success keep investing in:
- An in-memory-enabled data warehouse platform, to support real-time insights even as data volumes grow.
- Data governance and data quality processes, especially when adding new data sources and/or new analytical applications requiring real-time insights.
- Advanced data security features and functionality, including encryption, data masking, and data access controls to support end-to-end (data to insights) business and regulatory compliance requirements.
- Adding new sources of data, to support more comprehensive data exploration and analytics use cases.
- Integration of data management, governance, and analytics via common data catalogs/semantic layers.
If you are not already doing so, leverage your modern data management platform for new applications and use both applications and use cases requiring real-time data processing, such as:
- Personalization and improving customer experience.
- Revenue-generating applications, such as improving upsell/cross-sell and reducing customer churn.
- IoT.
Analytics: Needs Improvement
Your score means your analytics and technology need improvement. Your analytics platform may not:
- Have enough end user self-service capabilities, which would require constant involvement from IT professionals and impact your ability to quickly derive insights from data.
- Be deriving insights from all relevant data sources, thus limiting the richness of insights.
- Be broadly adopted by all of your organization's knowledge workers, due to the complexity of its GUI and the required learning curve.
- Support all insights you can get from data based both on free-form data exploration and structured, guided analytics.
- Allow you to connect signals from data to insights, actions, and tangible business outcomes.
You may need to upgrade to a more modern analytics platform, which supports real-time insights, self-service analytics, cognitive conversational UX, and a rich data catalog/semantic layer. Consider:
- Partnering with systems integrators that are experienced in architecting and deploying modern integrated data management, data governance, and analytics platforms and solutions.
- Investing in an integrated data warehouse and analytics platform plus solutions, which share the same data catalog/semantic layer, and therefore minimize the integration effort required. This allows you to concentrate on delivering impactful business applications.
Analytics: On The Right rack
Your score means that your analytics technology and architecture are on the right track! For continued success keep investing in:
- Data literacy to empower more end users produce more insights from more data faster.
- Data catalogs and semantic layer to empower business users to derive richer insights from all relevant data sources.
- Cognitive conversational UX for analytical applications to empower all business users, not just data analysts, to be able to derive rich insights from data with little to no learning curve.
- Capabilities to help end users uncover more insights from data exploration beyond just structured, guided analytics.
- Analytics embedded in most operational / transactional applications such as ERP and CRM for real time pervasive insights.
- Continued integration of data management, governance and analytics via common data catalog and semantic layer.
If you are not doing so already, leverage your modern analytics platform for new applications and use cases requiring real time insights such as:
- Personalization and improving customer experience.
- Revenue generating applications such as improving upsell/cross-sell and reducing customer churn.
- IoT.
Next Steps From SAP
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Thank you for taking the time to complete this assessment! Read the full Forrester report commissioned by SAP.
Go to www.sap.com/analytics to learn more about how SAP can help with your data and analytics solution strategy.
Methodology, Disclaimers and Disclosures
Methodology, Disclaimers and Disclosures
Methodology
Methodology
In this study, Forrester conducted an online survey of 420 data warehouse/analytics strategy decision-makers in North America, Europe, Southern Europe, and APAC. The study was completed in May 2020.
Disclaimers
Although great care has been taken to ensure the accuracy and completeness of this assessment, SAP and Forrester are unable to accept any legal responsibility for any actions taken on the basis of the information contained herein.
Disclosures
This interactive tool is commissioned by SAP and delivered by Forrester Consulting.