Data Strategy
Setting a practice in place to drive success
Strategy Planning
We believe that the effective use of data can lead to sustainable long-term results. However, it is easier said than done. We spend time understanding your goals and then work with you to craft a strategy that leads your organization into becoming more data-driven.
Business
Discovery
Technical and Process
Discovery
Assessments and
Roadmap
Business Discovery
Our engagement typically starts with business discovery and planning sessions. During these sessions, we work closely with relevant stakeholders in the business to understand the goals and objectives of the organization and for their respective teams.
The sessions are collaborative and discovery-oriented. These sessions help create clarity and enable the teams to define success more precisely and opens the door to the creation of a clear analytics roadmap that needs execution.
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Technical and Process Discovery
To create a sustainable BI and analytics practice, having systems in place that allows analysts and business users to discover, collaborate, and create value is vital. A necessary step in this process is to understand the current maturity levels of people, processes, and tools in place today to address the current challenges. To build a successful analytics practice requires the culmination of many different skillsets. We
Technology
Processes
This discovery phase leads to an understanding of the current gaps in tooling, processes, resources, and systems. A path forward can be laid based on this understanding.
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Assessments and Roadmap
Current State Assessment:
Only a transparent and impartial assessment of the current state of business intelligence and analytics can lead to an understanding of our strengths and weaknesses. It allows identifying areas of improvement and the measures to take to address the gaps and unlock opportunities for growth in the process.
Execution Roadmap:
Maturity levels for BI and analytics vary from company to company. We recognize that and have designed our products and services to be modular enough to address the requirements of any organization, regardless of their current maturity level. Our goal is to make you successful, and we do that by working collaboratively with you to create roadmaps that detail out the journey from the current
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Strategy Execution
Business Requirements
Gathering
Technology Selection
Advisory
Data Modeling
Business Requirements Gathering
We spend time with you to detail out the requirements for the various business reports and analysis needs once we have a high-level roadmap identified. We bring our subject matter experts and help you craft these requirements in detail or offer reviews and guidance on the existing specification.
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Technology Selection Advisory
A complete data analytics infrastructure comprises of many tools. Data Integration, Data Warehouse, Data Visualization, and Business Intelligence are just some examples of the classes of tools needed to have a robust infrastructure.
There are hundreds of tools available in the market today for each of these technologies. There are also many deployment choices for these tools – cloud, on-premise, a combination of both.
We believe that there is never a perfect answer to the question of what the technology stack should be, rather the best choice for your specific situation. The selection of tools is always dependent on your needs, budget, timeline, and the skills of your resources to run and maintain the stack. We keep these parameters in mind when we recommend technologies that we believe have the best potential to solve your business needs.
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Data Modeling
A vital component of any analytics or business intelligence exercise is the consolidation of data from disparate systems and the creation of queryable datasets. With the advent of cloud and SaaS applications, it is ubiquitous these days for companies to have data residing in multiple systems. Unless this data is unified, it is challenging to get a comprehensiveunderstanding of customers, products, sales, marketing performance, and much more.
The essence of data modeling is to ensure that reliable data sets are developed and maintained on an ongoing basis to enable business users and analysts alike to leverage these data sets and generate insights to drive business growth. We bring our
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