Connecting The Dots To A Cohesive Marketing Practice
Helping Rightsize Footsteps Across Multiple Strategic Fronts
With constantly shifting business dynamics and the increasing pace of technology evolution, yesterday’s way of doing things will not be efficient for tomorrow. Organizations need an outside-in perspective to identify process blind spots and opportunities they have missed.
Our experts chalk out strategic plans on multiple tracks – experience, engineering, analytics, etc. consulting businesses to achieve their goals and stay ahead of the digital evolution curve.
Experience Strategy & Consulting
While growing a business, the ever-changing digital landscape can quickly become an overwhelming one. With a number of other responsibilities and tasks that you need to do, how can you also efficiently create, fine-tune, and maintain an agile digital marketing and experience strategy?
Comsense provides the best-in-class strategy consulting by establishing use cases of data, creating strategic goals on a detail-oriented plan, and identifying risks and challenges, improve your digital presence and grow better, thus bolstering your enterprise experience capabilities.
This includes diagnosis of Business & technology challenges, guiding policy for dealing with the challenges along with set of targeted actions that are necessary to accomplish the policy. It starts right from understanding buyer personas, evaluating existing channels (online and offline), content, assets, personalisation rules, omnichannel channel campaigns and driving cross channel analytics & visualisation
Engineering Strategy & Consulting
Organisations that can achieve peak performance from core business applications are the ones that can effectively grow, compete, and differentiate themselves. However over time most of them start facing various issues, from outdated tech stack to degrading user experience, from data breaches to expensive maintenance. Hence devising an efficient application engineering strategy is necessary to ensure these mission-critical systems stay updated and relevant in this day and age.
Application rationalisation (modernization, consolidation and standardisation) brings many advantages like enhanced productivity, improved security, and reduced cost. But there are complex challenges too.
Considering every project is unique, Comsense aim to build a strategy which is flexible, scalable, loosely coupled, resilient, responsive to integrate and support multiple business models. We help our Clients with a flexible and modular architecture, modern programming languages including rapid development, continuous delivery, and deployment
Data Strategy & Consulting
Almost all businesses face data-related roadblocks that require a certain degree of creativity and technical expertise. Comsense Data engineering consulting team works very closely with Clients to resolve such issues by comprehensively understanding data pipelines and help in advancing a company’s data science initiatives.
Comsense provides a consulting led approach to data engineering in creating and maintaining or improving infrastructure, solving complicated business problems, managing data pipelines, data lakes real-time interactive analytics, enhanced business intelligence through data models, streamlining data processes, data pipelines
BI & Analytics Strategy & Consulting
Comsense has deep experience in business intelligence & analytics consulting to see through convoluted systems and make sense of data in a way that’s best for your business. From data analytics consulting, BI dashboards to enterprise business intelligence, we know that a guiding measurement of success for any BI strategy is adoption by the end users of the organization, and we strive to ensure these users are comfortable with the tools and technologies
The services include adoption audits for tool evaluation and ROI, data driven business analytics, data analytics and reporting, predictive analytics, machine learning models in addition to building CXO dashboards.
Through data science consulting we set the waypoints to optimally generate value from your data followed by assessment and data preparation. ML-led data modelling and their deployment as per mapped SLAs ensure you benefit from analytics on structured datasets – fast and accurate.