Get clarity with an Analytics Roadmap
Becoming a data-driven business is not easy. We know. We've helped many organizations down the path. You must change culture, process, technology, and sometimes organization all while still operating your business day-to-day. It's easy to throw up your arms and keep making decisions the same way you've done a million times before. We can help you break this reactive cycle.
An ounce of prevention...
In a technology world abuzz with agile development methodologies its easy to lose sight of the forest through the trees. You need to take a step back, survey the landscape and prioritize. With a little planning and perspective, your agile delivery can start producing what you need. Inquidia's analytics and architecture experts can get you on track.
Assess the situation
Step one on your data driven journey is to challenge your business strategy. We'll help you restate it as a hypothesis, likely a whole chain of hypotheses. Why? Hypotheses can be tested and if you're going to be data driven you'll need to experiment. We'll help you identify what needs to be tested and how it should be measured -- creating a new way for you to gather analytics requirements.
Of course, you'll need data in order to measure. We'll sift through your data assets, inventorying along the way, to identify what must be gathered to support your new analytical challenges. Don't worry. We won't put blinders on. In the modern big data era, we know that all data can be feasibly captured even if we're not exactly sure of its future value.
People matter too. Just because we'll use data to drive decisions doesn't mean human judgement has no value...au contraire! Your staff may need to learn a new language, one of experimentation and data interpretation, but with proper incentives, and cultural/organizational changes everyone will be able to leverage your new analytics.
We can't forget about technology. You've likely made data and analytics investments, but how best to leverage them going forward? Our solution architects will dig in and understand what you have in place today, what works and what needs some help.
Once we've gathered analytics requirements, inventoried data assets and assessed existing data and analytics technologies, we're ready to start identifying solution options. We'll bring our experiences and research to bare as we evaluate and educate on architectural and analytical alternatives. We'll also break down the analytic requirements into project-sized chunks including data and architecture dependencies.
Often the journey is more valuable than reaching the destination. Our clients find this part of the roadmap project to be invaluable as we work together to evaluate, prioritize, accept, dismiss and discuss options. There is no cookie-cutter answer but there are patterns and best-practices. We'll educate on these and help you understand the implications.
Design a solution and prioritize
With a mutual understanding of the solution options, its time to make choices and prioritize. You'll bring knowledge of your business and staff to help prioritize initiatives. We'll bring our professional and technical judgments and help you understand the pros, cons and dependencies. In the end, we'll weigh in with our recommendations -- which if we've done our job right, will not be a surprise.
Create a plan, Define an architecture
We'll wrap up the effort by defining a data architecture and developing a plan of action. Your roadmap will include phases of analytic and architecture implementation with scope, resource and timelines.
If you want, we'll identify skillsets needed for ongoing development, administration and maintenance, present organizational design recommendations and/or recommend development and management processes.
Here to guide you
We don't just drop a pile of documents on you and cut out. We are committed to your success. We'll be happy to engage our technology implementation and management services to see that you get off on the right foot and stay directed as you take your data-driven journey.
There are a lot of options on how you can deploy your BI architecture. Lots of technologies, lots of data, and lots of applications. This means lots of headaches. An architecture roadmap removes the confusion by organizing your options and serving as a guide to get you where you want to go.
Inquidia can get you on a clear path by combining our best practice architecture design with the best in BI technology – and proven project methodologies – to ensure that you're on the right road with a solution that's scalable, reliable, and directed to your business results.
We'll help you identify the right options. And choose the right direction.
There are many roads you can take in designing your BI architecture. And while they may lead to a single destination, each path has different hazards and detours to navigate along the way. We'll help you choose a path that will maximize benefits for your organization’s short and long term BI needs, with minimal risk. And we’ll help you implement this choice cost-effectively with open source and other technologies.
We'll dive deep into what you're doing today, what you want to do, and where you want to go. And together we'll come up with a plan to get you there. We typically do roadmaps that range from 2 to 4 weeks in duration with a small team of 2 to 3 specialists, depending on your specific situation.
There's a lot of ground to be covered. We know how to do it quickly, and without bias.
Some of the things we tackle in a roadmap include:
- Performing data architecture review, including transaction processing, database load, OLAP and reporting components
- Reviewing high level data flows, processes and inventory applications/business logic code/processes, servers
- Assessing internal KPIs, reports and analysis
- Investigating supporting data sources, including sourcing and provisioning, volumetrics, growth and accessibility/latency (usage, frequency, timing)
- Highlighting data complexity, quality and integration alternatives
- Developing architectural alternatives and recommendations
- Identifying architecture risks, potential bottlenecks and other optimization opportunities
- Defining data architecture, user/BI presentation and data transformation alternatives
- Articulating architectural build out options and dependencies
- Planning user presentation and BI technology options and phasing
- Describing your BI architecture needs, including hardware, software and staffing requirements