It is all about data these days. Businesses need data to run effectively – to keep up with compliance with regulatory requirements, to provide best class customer service. Many businesses are lacking a general data strategy, because its setup and implementation can take a lot of time, while the end result could be questionable. The Digital Transformation is constantly pushing the enterprises to evolve. To stay competitive, organizations need to bring their data systems to the next level.
The Big Data & Analytics experts at Transformidable can help plan and implement an end-to-end data strategy for your business. You can trust us to support and develop your Database Applications, beyond the traditional Relational Databases.
By leveraging the latest industry best practices, you business will be able to finally make faster decisions based on precise prediction and improved business intelligence. Building your Big Data tools and solutions is a lot easier now and your business can benefit from open source solutions such as the Hadoop ecosystem, including Apache Spark and Apache Hadoop.
Analytics for a Strategic Goal
More effective reporting and data insights for your corporate business will result from having defined, strategic measurement to inform your analytics priorities.
A data analytics approach provides:
- Organizational alignment on analytics requirements and metrics
- End users require critical information.
- Use of complimentary tools on a regular basis within your company
- Metrics that are consistently calculated, as well as standard meanings
- A targeted plan for addressing your company’s most critical data demands, both current and future.
- Data privacy and security are ensured by governance across technologies, users, and use cases.
Overall, a data analytics plan can assist you in aligning measurement outputs with strategic objectives so that you may identify opportunities in your business and digital marketing efforts.
How Can We Assist You With Your Data Analytics Plan?
Using our various analytics strategy solutions, we can help you build an enterprise framework that will streamline processes, align teams, and nurture analytical thought, whether your goal is to scale analytic processes across your organization, make more data-informed decisions, or implement data-driven organizational change:
- Roadmaps for Analytics
- Plans for Measuring
- Architecture for Digital Analytics
- Data Administration
We recognize that every company is different, therefore we start by conducting stakeholder interviews to learn more about your company and key team members. This allows us to:
- Find the source of your discomfort.
- Gap analysis
- Prioritize your requirements.
- Obtain agreement
The foundation for a strong data analytics strategy that produces business results is our focus on strategic priorities. Our experience building and implementing data analytics strategies at the corporate level—thinking across people, processes, and analytics tools throughout the complete data lifecycle—equips us with the knowledge you need to succeed.
Services for Data Analytics Strategy
Creating an Analytics Roadmap
Short- and long-term business goals should be prioritized depending on the business impact, strategic alignment, competitive impacts, available resources, related project requirements, and budget allocation.
When creating an analytics roadmap, we make certain that your data:
- Ensures that long-term strategic efforts are measured.
- Provides a clear picture of the milestones and work needed to meet your overarching objectives.
- Budget planning is aided by this information.
- Creates cross-departmental resource prioritization alignment
Planning and Strategy for Measurement
A measurement plan outlines the goals, essential business questions, and measurements and dimensions that go with them. We collaborate with your stakeholders to create a plan that is tailored to your company’s needs and goals.
Before beginning a new analytics solution, a new dashboard campaign, or a new optimization program, create a plan to secure stakeholder agreement. It also serves as a strategic framework for all future work, guiding priority for your teams as needed.
A measurement strategy will include:
- Assemble stakeholders around key goals and success measures.
- Assist with the technical solution as a strategic reference
- Reporting and data visualization with a guide
- Make your data analysis easier.
- Make A/B testing a top priority.
- Create a customized training program for your teams.
Architecture for Enterprise Digital Analytics
Your data should be able to be managed, used, and integrated with new solutions and technology. It all starts with your digital analytics infrastructure. We assess and construct an approach to managing your digital analytics instruments so that you may eliminate redundancies and create better processes for the efficient use of data across your organization.
If you run a large company with a lot of files and data tools, you may need assistance with the overall architecture. We can assist you with this as well as specialized initiatives related to your digital analytics infrastructure, such as:
- Consultation on the Digital MarTech Stack – we can assist you in determining which collection of tools will work much better together to complete the required use cases.
- Vendor Evaluation – we provide a strategic, tried-and-true method for picking a new framework or tool based on your specific requirements.
- Process Development – We will assist in the development of process to ensure efficient use and management of digital analytics tools.
Strategy for Data Management
Developing a data management plan to guide your analytics practice ensures that data accuracy, accessibility, security, and privacy are all consistent. Processes, policies, and roles/responsibilities are all part of this cross-departmental endeavor.
We can assist you in developing a data management plan so that you can:
- Make your business compliant and accountable by seeing data as an asset.
- Reduce the number of redundant roles and duties.
- Ownership of governance and information systems should be centralized.
You can leverage your data with trust if you have a data management strategy.