Data Analytics: Ask This;

Data Analytics: Ask This;

TLDR: Ask This;

1. What types of data analytics does your organization use to measure the impact of the digital product experience?

2. Does your organization have access to data analytics to inform and drive business decisions?

3. Does your organization use information technology and data analytics to help continuously monitor internal control systems?

4. How do you use Big Data analytics to make better informed decisions that increase your business impact and improve savings performance?

5. How, if at all, does your organization use data analytics in its corporate compliance and ethics program?

6. Do members throughout your organization promote the use of data analytics to support decision making?

7. What benefits has your organization seen from its use of data and data analytics in helping to inform/drive its go to market strategy?

8. How does your teams use of data analytics affect the nature, timing, and extent of your organizations audit testing?

9. What challenges has your organization experienced in connection with your use of a data analytics team?

10. How do you deliver the clean and structured data that AI and machine learning solutions must have to solve challenging data analytics use cases?

11. What impact does data analytics have on your organizations priorities and strategic initiatives?

12. What do organization leaders need to know about data analytics and data management to improve employee outcomes and meet organizational goals?

13. How does senior management at your organization view the role of consumer data analytics technology, usage and services?

14. Does your organization use data analytics to identify specific risks in charging unallowable activities?

15. How is your organization identifying areas where AI or data analytics approaches are applicable or have the potential for the greatest positive impact?

16. What challenges have you faced with your current use of log/machine data analytics technology?

17. How can an emergency organization use omni channels to establish big data analytics protocol?

18. How does the already automated manufacturing industry harness AI and the real time data analytics capabilities to make more real time decisions that increase productivity and improve competitiveness?

19. How does your organization get a winning edge by combining the power of data analytics with brainpower?

20. Do auditors have enough knowledge about data/ IT knowledge to use data analytics during the audit?

21. How does your use of data analytics affect the nature, timing, and extent of internal audit testing?

22. How does your organization establish a data analytics foundation and ensure that predictive modeling results be utilized effectively?

23. How can business to business companies leverage big data analytics to deliver new business value and unlock new opportunities to drive customer growth?

24. How is or do you believe your organization will deliver on your big data analytics projects?

25. How will next generation workloads as containers and big data analytics require your organization to consider digital transformation?

26. How does cutting edge technology, process digitalisation and data analytics help you improve customer engagement and retention?

27. What is your expectation for your machine data analytics to support speed of decision making, by organization size?

28. Do you have site or functional area data analytics capability to support analyzing supply chain performance data?

29. How would you best characterize the use of data analytics in your finance shared services center?

30. What kind of business decisions using data analytics are being taken within health care organizations?

31. What kind of business decisions using data analytics are being taken within healthcare organizations?

32. What percentage of the time do senior business leaders include data analytics in the decision making about designing and executing strategies?

33. How feasible it is to collect digital footprint data stored by organizations and use it in health data analytics and health services?

34. Why are other organizations increasingly adopting the use of data analytics in day to day working?

35. Are there difficulties/obstacles faced while trying to implement data analytics solutions in your organizations current business model?

36. Have you evaluated the positive impact modern data analytics and reporting platforms could have on your and regulatory reporting requirements?

37. Is it open to working with you to have more comprehensive internal audit coverage using data analytics and data visualization?

38. Is management making the best use of the latest forensic data analytics techniques to monitor compliance in real time?

39. Which benefits has your organization experienced as a result of utilizing data analytics providers?

40. How do you measure success in using internal data analytics to drive business outcomes?

41. How do programs use administrative data and data analytics to inform staff decision making regarding different enforcement techniques?

42. What customer centric issues and working practices have you identified affecting IoT data analytics projects?

43. Has your use of data analytics created a noticeable shift in your ability to deliver a superior customer experience?

44. How well do business executives understand the importance of enterprise level data analytics to brand and customer focused initiatives?

45. How do your organizations business leaders actively encourage data and analytics opportunities?

46. Does your organization deploy technology driven data analytics in its portfolio companies?

47. Has your use of data analytics ever resulted in extra work due to faulty design of the analysis parameters?

48. How long has your organization actively pursued or applied big data analytics to its business?

Organized by Key Themes: DIGITAL, MANAGEMENT, DATA, DEVELOPMENT, RISK, AUDIT, SUPPORT, QUALITY, PROCESS, CHANGE:

DIGITAL:

What do you consider to be the main external challenges of the current external reporting environment?

Make sure the objective of these learning opportunities is to expose program participants to a variety of approaches in solving complex business problems, as well as to give an exposure to data analytics and reporting, networking design, application development integration and implementation, SMART factory, modern workplace, digital marketing and e-commerce and cyber security.?

How do you handle change management from legacy to a data driven organization?

Be confident that your workforce defines, measures, and performs maturity adoption analysis to inform action plans, feed data analytics initiatives, and control digital change management across all digital strategy related objectives.?

Does your organization employ metrics to measure the impact and success rates of customer engagements?

Use data analytics to monitor, analyze and measure effectiveness of digital efforts and ensure optimal impact.?

What skills, expertise, and knowledge are needed to exploit the vulnerabilities in the system?

Stay up to date on technological innovations, data analytics trends, and act as digital tools champion throughout organization.?

How do you increase your workforce planning and analytics maturity?

Develop and promote digital use cases that increase coverage and overall assurance in cooperation with your data analytics team.?

Do you have real time access to data analytics, as well as detailed reporting, benchmarking tools and chargeback tools?

Ensure your digital asset ecosystem also offers data analytics products, including a comprehensive benchmark for Bitcoin and Ether.?

How do you use data driven storytelling to increase the impact of your reporting?

Ensure your goal of your digital strategy is to leverage audience segmentation, rich data analytics, and creative messaging to drive increase engagement and conversion across each of your brands.?

Do you use BI for analyzing customers, suppliers, competitors and other business partners?

Partner with data analytics, strategy, marketing, digital and other internal departments to generate audience performance data and execute custom research in support of partner and brand growth objectives.?

Are you concerned about the quality of the data or analytics that are being shared by your partners?

Partner with Data Analytics, IT, and Digital Operations to ensure foundational and strategic data management integrity and alignment across all strategic initiatives, implementations, and operations.?

How do you test your data analytics and models to ensure the reliability across new, unexpected contexts?

Safeguard that your team is involved in digital media execution and measurement including experimental test/control design.?

MANAGEMENT:

How can we, as a community, learn best practices from each other and together create more opportunities for success?

Drive strategic projects for (internal) customer Support and partner support leadership in key deliverables such as partner analysis, data analysis, business process (re)engineering, partner governance process including data analytics and management processes and change management to organization new practices or improve existing practices.?

How do you build a data driven marketing organization?

Provide management for the Data Analytics projects that drive key insights for the business across the (internal) customer journey (new business and existing business).?

How do you foster a culture that encourages data driven innovation while tackling the potential risks associated with it?

Check that your company has involvement driving business innovation, leveraging management information, and data analytics to drive results.?

Do you determine the status of your transportation networks and services at any given time?

Apply data analytics and reporting based on received (internal) customer queries/questions, to provide Learning insights to business and Learning community for proactive policy/program design/review, end user behavior change and improved employee relationship management, etc.?

How do you best use advanced data analytics/RPA/AI to improve workflow management, drive efficiency and reduce operational cost?

Certify your personnel drives process improvements to improve current project management reporting; automate manual efforts, streamlining contractual reviews, implement new procedures and protocols, manage data analytics of current portfolio, ensure compliance and reduce risk exposure.?

How do you consider the top management support for the initiatives of adopting big data analytics?

Ensure your expertise and primary support is in areas of Program Management, Software Development, Artificial Intelligence (AI), Enterprise Architecture, Data Analytics and Business Intelligence, and Cyber Security.?

How do you are compute Big Data analytics in case of code changes?

Develop further the Change Management digital strategy process into the SDLC process with key delivery areas of continuous integration continuous delivery, Cloud, automation and data analytics evolution.?

How do you start applying an unblinking eye to evaluate every potential dataset as it comes online, and get it plugged into your decision process before your competitors?

Be certain that your staff works closely experienced with Business Intelligence and Data Analytics Power BI competencies and SQL like data management tools.?

How clear is the companies data governance initiatives and who in your organization is involved?

Secure that your workforce is involved in strategic planning, R and D, data analytics and Product Lifecycle Management systems (needed).?

Has your organization defined a process for sharing data with internal and external stakeholders?

Work closely with internal product management and data analytics team to define required data and analytic tools for the (internal) client implementation.?

DATA:

Will the big data cloud environment better support on demand provisioning, scaling, optimization, and execution of diverse data and analytic resources than alternative deployment models?

Make sure the Manager, Data Analytics is responsible for managing a team of Data Solutions Analyst responsible for using performance and operational business data to provide insights and support the business.?

Does the project involve you using new technology that may be perceived as being privacy intrusive?

Liaison so that your organization is involved in data analytics using SQL, Business Intelligence and Visualization tools as Tableau.?

How do you conduct T&E of increasingly complex, data driven systems?

Be confident that your operation is developing a diverse team of business and data analytics resources to drive insights for your leadership team and other key stakeholders.?

Do you regularly meet with senior management and critically review management and risk information?

Make sure your organization works with the Prism product development team and data scientists to conduct proofs of concept for prospective (internal) clients and relies on analytics consulting or review management involvement and application of statistical methodology to interpret results and propose cost-effective and data driven review workflows for prospective and active (internal) clients.?

How do you support the development of geospatial businesses and commercial activity, and encourage the adoption of emerging technologies?

Establish the data governance strategy and build a central function to meet the needs of all business stakeholders, provide oversight for data management capabilities, and support the data analytics function.?

How do you identify price sensitive/price insensitive customer segments?

Check that your workforce participates on business intelligence development team engaged in a wide range of data analytics and metrics optimization for organizations data warehouse projects.?

How do you identify and fix bugs in the product?

Make sure the team includes product delivery analysts, researchers, data scientists, and people analytics consultants, who partner with HRBPs and the business to identify the insights leaders need.?

What benefits has your organization seen from its use of data and data analytics in helping to inform/drive its go to market strategy?

Be confident that your strategy is involved in data analytics and leveraging multiple data sources to drive business decisions.?

How do you measure and report on value added to the business?

Guarantee your staff understands use of information management and data analytics tools to create and optimize content and report on impact from the perspective of business performance, brand and reputation.?

Can users rate content either through a rating system or by using social media style likes?

Make sure the Data Analytics team leads the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques.?

DEVELOPMENT:

How do you effectively address privacy concerns in a data driven economy?

Serve as primary representative for project team and internal stakeholders, articulating data analytics to drive value to business partners, writing product specifications and working directly with other product teams during development cycle.?

How do you make sense of the data and unlock its potential to reveal hidden value and new opportunities?

Create materials and lead prospective business development calls to source data analytics project opportunities.?

What do organization leaders need to know about data analytics and data management to improve employee outcomes and meet organizational goals?

Manage the analysis, design, development and implementation for data analytics and business intelligence solutions.?

Does your organization use data analytics to identify specific risks in charging unallowable activities?

Identify product and feature success metrics/business KPIs, analyze performance on a daily/weekly basis and conduct data analytics to prioritize future development and identify new product opportunities.?

How can machine learning help you reduce operations costs and improve mainframe performance?

Review the Software Development Lifecycle in the current Data Analytics Application and Systems portfolio to reduce current footprint; reduce incidents through root cause analysis and proactive system enhancements.?

How do you further improve data analytics and reporting to support data driven decision making?

Set enterprise architecture for (internal) customer solutions, RPA, data analytics and visualization, reporting, automation, and cloud development including transition to more agile and flexible platforms.?

Have you received enough information to be able to participate and give your informed consent?

Participate in the design and development of a state of the art data analytics technology.?

Are there customizable queries and reports related to activity across the entire organization?

Support the implementation and development of reports and data analytics on the Power BI application.?

How has the role of practitioners changed compared to the decision processes before big data?

Drive the technical direction of data gathering and data analytics for the development of next generation glucose sensing systems.?

Is there out of the box data integration or does the vendor need to create a program interface?

Create the design, development, and implementation of business intelligence solutions through data analytics.?

RISK:

Have key stakeholders within your organization reviewed the roadmap and provided feedback?

Guarantee your team is using tools and technology to provide data analytics and business intelligence on cyber threats, risk and vulnerabilities.?

How can customer data analytics help financial services providers deliver frictionless experiences to maintain a competitive edge?

Make headway so that your personnel is using tools and technology to provide data analytics and business intelligence on threats, risks and vulnerabilities.?

How do you use sentiment data to diagnose stability and identify conflict risks?

Operationalize the design, development and deployment of technology solutions to enhance confidentiality and privacy processes and support data analytics and insights to identify new risks and mitigation strategies.?

Can it provide the necessary monitoring, investigative, and data analysis to support real time security decisions?

Work with Data Analytics and Risk Decision Science team members to build and maintain the schemas and analytical tools needed for risk reporting and monitoring.?

How do infrastructure and related services manage the support of operating analytic solutions?

Oversee the development and use of technology such as data analytics to identify and mitigate risks to strengthen payment integrity at the Department and to coordinate and collaborate the efforts with program and field offices, and Management and Operating (M and O) contractors.?

How do you define data analytics?

Develop and implement robust data governance practices, including routine management review of key data integrity metrics and risk model indicators, establishing data ownership and enhancing data analytics for the key risk area of Data Integrity.?

How do you do reporting and analysis at present?

Collaborate with the Audit Analytics Manager to integrate data analytics in support of audit and risk management planning, execution and reporting.?

How many visualizations and analytical tools should reviewers have to maximize the workflow?

Ensure your Data Analytics team supports, enables, and solutions the data and analytics needs of Credit Risk Review.?

How do you overcome the image that were difficult to do business with?

Participate in data analytics efforts to identify insights to support a focused approach to scoping and risk assessment on audits.?

What should your organization look like to support the reporting and analytics needs of stakeholders?

Make sure the Risk Data Analyst is responsible for leading model development and credit risk data analytics and reporting efforts.?

AUDIT:

Do you have a plan to mitigate the impact of turnover on departmental knowledge resources?

Make sure the team is focused on process improvements through not only its SOX program but also operational internal audits, including data analytics to help the business mature systems and processes, increasing efficiency and scalability while maintaining internal controls to mitigate risks.?

How many visualizations and analytical tools should reviewers have to maximize the workflow?

Make sure the Information Systems and Data Analytics Auditing Advisor works with audit, business and IT management to identify internal areas or functions needing review, and plans for necessary audits.?

What could cause performance degradation resulting in an increase in customers dissatisfaction?

Confirm that your staff is involved in using data analytics analysis to perform more effective and efficient audits.?

Does the solution provide your organization process workflow of the investigation process?

Identify, promote, and innovate audit best practices across your organization methodologies, use of the work paper tool, application of fraud evaluation and data analytics techniques.?

How do you help move the field to a better future for monitoring, evaluation, and learning?

Collaborate with data analytics teams on audit projects to identify and deliver full population testing to improve assurance and achieve objective of continuous monitoring.?

What is the most significant challenge to incorporating data analytics into the audit process?

Be confident that your strategy is incorporating data analytics in the teams audit processes and procedures.?

How do you foster a culture that encourages data driven innovation while tackling the potential risks associated with it?

Utilize data analytics to increase audit coverage and robotics process automation to drive efficiency.?

How do you test big data analytics projects?

Secure that your design conducts various operational, integrated and Information Technology audits, test of controls, and data analytics in accordance with audit programs.?

What is the value of data analytics to your organization, and how is it used to derive that value?

Develop experience using data analytics in the audit lifecycle to effectively synthesize data, identify patterns/trends, derive meaningful insights.?

How do you improve diversity training?

Support development of the Internal Audit data analytics program to improve the efficiency and effectiveness of audit engagements.?

SUPPORT:

Which of can be supported by expert systems / neural networks / deep learning methodologies?

Support the strategy, design and implementation of Business Insight initiatives, including and the design and implementation of robust data analytics solutions to drive (internal) client decision support and predictive insights.?

How do you rate governments agility and ability to act and think in the age of transformation?

Support the team to develop process for collecting and prioritizing areas to research in safety science (possibilities include technology, wearables, digital, data analytics, systems thinking, resilience engineering, complexity science etc.?

Can the rich data analytics to evaluate the effectiveness of the learning resources be achieved as pre defined reports?

Support the development of pricing policy options through data analytics, narrative reports, and engagement with external stakeholders.?

What is your expectation for your machine data analytics to support speed of decision making, by organization size?

Ensure your team is involved in feature selection, model building, and optimization using supervised and unsupervised machine learning techniques to support analytic objectives.?

When looking to adopt new technologies to support data analytics initiatives within your organization, what are the most important capabilities/attributes?

Assure your operation coordinates, authorizes, and oversees the research, deployment, monitoring, maintenance, development, and support of Foundation technology solutions based on your organization wide strategy.?

How do you create value from data to support business strategy?

Check that your group has involvement providing research and analysis to support regulatory filings as the General Rate Case or any compliance related programs.?

Are ehrs, registries, health information exchange, or data analytics in place to support activities?

Be certain that your personnel leads and routinely creates the design, development, and implementation of supply chain solutions in support of internal/external (internal) customers and/or corporate initiatives.?

Does your entire organization have easy access to information required to support work processes?

Liaison so that your group establishes and maintains processes to support execution and scale of IP projects.?

Do the relevant people understand what information is being generated and what it can be used for?

Run ongoing panels of target consumers (internal) clients to support individual research portfolio as well as critical research questions generated elsewhere in the enterprise specific to the panels participants.?

How do you use data analytics to support fieldwork?

Create (internal) customer marketing assets as case studies and videos that support (internal) customer acquisition.?

QUALITY:

What can cx data analytics and AI do to help businesses develop a 360 degree view of customers and provide a seamless customer experience across channels?

Partner with quality and business leadership across the organization to craft and refine a vision for quality data analytics and governance at all relevant levels of the organization to provide real-time insight into GxP compliance, process performance, and resource utilization.?

What is the approach to implement the business model and how significant is the required change?

Use data analytics to identify risks and opportunities for quality improvement and escape prevention.?

Will the implementation of AI and data analytics in Digital Twin enable to gain more insights?

Be confident that your personnel is understanding Quality Metrics, KPIs, Data Visualization, Data Analytics and its impact on IT organizations, Testing Maturity Models and how they are applied to increase maturity of quality and IT organization, to enable continuous improvement.?

Do your expensive new systems contain accurate and complete data for financial reporting and analytics?

Achieve project and business outcomes for budget, quality metrics, and (internal) customer satisfaction monitoring, correcting, forecasting the estimate to completion and reporting on portfolio progress.?

How do you optimize your social security payments?

Make sure your strategy is involved in various APM model frameworks (pay for quality, partial risk, and full risk models).?

How will data analytics be incorporated and operationalized to become a data driven organization?

Establish a set of key performance metrics to measure and drive reliable, quality and efficient operational performance.?

Which of can be supported by expert systems / neural networks / deep learning methodologies?

Guarantee your organization ensures quality service and effective securities operations activities for all supported internal and external (internal) customers.?

How do you support the analytics from a data management perspective?

Turn into actionable quality insights in support of the long short term goals of your organization.?

How open source big data technologies can improve business strategies / models / operations?

Ensure program compliance and identifies opportunities to improve service and quality outcomes.?

How do you help move the field to a better future for monitoring, evaluation, and learning?

Certify your operation participates in the design and administration of channel monitoring formats and quality standards.?

PROCESS:

How do you support the development of geospatial businesses and commercial activity, and encourage the adoption of emerging technologies?

Confirm that your design is involved in using data analytics and technology to enhancing or rebuilding business processes.?

How do you further improve data analytics and reporting to support data driven decision making?

Be sure your process provides HRIS/payroll transactional support to business leaders, processes HR transactions, provides standard HRIS reports and adhoc reports to business leaders along with required data analytics to support decision making.?

Does the falconstor data mastery platform support automated client installation and upgrades?

Secure that your operation plans and supports data analytics and strategies to define effective methods and processes to utilize available capacity on the site and aligns with established strategic direction in support of business needs.?

What is the impact and/or cost of findings bugs at a certain stage in the development cycle?

Understand ERP functionality, business intelligence, business processes and data analytics tool capabilities to help define solutions, prioritize features based upon return on investment, and develop the project execution plans.?

Do auditors have enough knowledge about data/ IT knowledge to use data analytics during the audit?

Make headway so that your design provides best value, IT acquisition life cycle, and related projects such as: creation, management and oversight of the IT Office Data Analytics processes, formulating vendor acquisition intelligence and associated artifacts, supporting artifact generation and content management of the IT Office Website.?

Can data analytics help operators to optimize the own operational performance and quality of service?

Define, develop, and leverage data analytics to manage service levels, key performance, and risk indicators to optimize process performance.?

What staff resources are allocated to business reporting and business analytics functions?

Support process improvements and issues resolution using data analytics reporting and task project tracking.?

How do you recruit, deploy, and develop people to deliver greater value to clients?

Warrant that your personnel establishes strong collaborative relationships with Procurement Operations, Accounts Payable and Data Analytics teams to develop sound operational processes, including a platform for problem resolution to ensure performance measurement objectives are met.?

Which benefits has your organization experienced as a result of utilizing data analytics providers?

Ensure your workforce is utilizing statistical analysis and advanced data analytics for process understanding and improvement.?

Do users access the data through your servers using your data analytics software or do you send extracts to approved users?

Make headway so that your personnel works closely experienced in using data analytics for process improvement.?

CHANGE:

How do you govern data and metadata changes?

Ensure your process performs data analytics and prepares business reports to assess strategy results, determine improvement opportunities and recommend strategy changes.?

What are the advantages and disadvantages of free exchange of data versus paying for data?

Partner with HR data analytics, finance, communications, and other stakeholders to track KPIs related to enterprise wide change.?

How do you use big data to model the impact of climate change on the most vulnerable populations?

Assure your organization is involved in a start up, fast growth, or rapid change environment.?

Are there other changes you would like to see in the model in the near term or longer term?

Build business cases, organize teams, set and track objectives, manage operational changes, and transition projects to operations.?

How do you govern data and metadata changes?

Check that your operation collaborates with team members on most effective field rollout of process, tool and/or reporting changes.?

How do you get timely asset information and respond more quickly to change?

Check that your strategy is responsible for all project documentation delivery (Change request, testing, system validation).?

Will it support user interaction with the service and exchange of information according to a prescribed method to obtain predictable results?

Be certain that your personnel is involved in large scale organizational change efforts.?

What area of the business is your organization looking to outsource, or did it already outsource?

Certify your personnel is involved in implementing and sustaining change/improvements (change champion).?

How would your business change if you used big data for widespread, real time customization?

Warrant that your personnel is leading in matrixed organization setups, managing conflicts and drive change.?

How do you reinvent work, and do things differently through a better use of insights and technology?

Interface so that your design recognizes, initiates and manages change that impacts the work group/department.