Engagement with clients
Consulting
Are consultants overrated? It’s a debate that will go on. We win the debate by demonstrating our-
- Ability to stay focused on objective
- Knowledge of domain, processes, practices, metric, technology and commitment to constantly upgrading them
- Ability to probe, discover and prioritize improvement areas
- Structured knowledge, putting things to right context, abstraction, connect the dots, analysis, cause and effect
- Compare with best practices within and across industry
- Be the bridge with the solutions that comes from process improvements, technology adoption
- Voice of the management or to the management- cutting through the silos of hierarchy, department, functions
If there is a single word that defines our consulting practice, it is VALUE DELIVERY. Often it is hard to see TANGIBILITY of a consulting exercise outcome, hence we focus a lot on outcome and value of the outcome. It is a drain on company resources like personnel time and money.
Some of the leading consulting areas are-
- Business and Digital Transformation
- PMO /advisor to large implementations
- Specific solutions consulting and Tender specifications (RFP)
- Supply chain Consulting
- Investment and feasibility studies- process consulting (select domains)
- IT landscape maturity assessment and Technology road map consulting
- Enterprise Business Intelligence system
- Market Research and consumer studies
- Demand forecast process setup and accuracy-reliability services
- Open source technology guidance
Engagement with clients
Projects
Some of the practices employed by us which differentiates us are-
- Sales stage promises stand of steady grounds of delivery feasibility and risks
- Full set of requirements is not dependent on just project sales specifications or interviews in discovery phase. Stated or unstated requirements come from data being used in the current process. It helps avoid surprises to both parties and smooth delivery/ expectation management.
- Being an OEM, Willingness of incorporate requirements of customers in our Product roadmap.
- Encourage prototyping and intermediate feedback even though project may not be following agile methodology.
- Project team members are aware of metric that the project is contributing to
- Avoid excessive compartmentalization of work packages
- Continuously working towards mitigating risks on the project board
- Offer customized post project support as every solution and organizations requirement can be different
There are wide variations between types of data science projects. And skill sets required for impeccable execution is very demanding. Different kind of projects we undertake are-
- COTS (commercially off the shelf) software implementation projects (own and partner products) in Analytics field
- Custom algorithm and software development projects
- Integration, data warehouse, data lake implementation projects
Engagement with clients
Training
Passing on knowledge to our customer and enabling them is like creating advocates for us in the world. The connect with end users during training sessions are a form of indepth VOC (voice of customer) that as Marketing and Product development plans cannot achieve. We offer training in specialized areas quite a few of them being areas close to our own product. Some of them are-
- Six Sigma and Lean practices
- Demand management
- Tools training- IBM analytics products- SPSS, ILOG CPLEX/CP, Microsoft BI products, SAP IBP, Aspen PIMS, Honeywell Supply chain Solutions
- Supply chain Planning
- Market Research
- Optimization Techniques
Engagement with clients
Outsourcing
Companies who have the scale and foundation in technology, invest heavily in technology and manage things substantially in-house. For example core of Amazon is the technology platform and it gets paid for enabling transactions. Other businesses who have core of their business as manufacturing, logistics, research, Mining, Energy find Information technology and especially Analytics as great differentiator, but struggle with the means to do it successfully.
Some have agreed to –
outsource hardware and network management (IaaS),
some software as subscription (SaaS) and
some have outsourced the whole process (Business Process outsourcing)
While business process outsourcing starts with mundane IT helpdesk, but quickly grows into billing, invoicing, payroll, legal, production, logistics 3PL and other core processes.
Companies have technology vendors in all functions and departments. One of the successful strategies have been outsourcing digital twins while retaining core execution and supervision
- No software license
- Hardware, software, personnel and process outsourcing – the whole 9 yards with focus on results
Outsourcing the digital twin-
- Monitoring supply chain
- Planning recommendations
Engagement with clients
Life Cycle Support
Post project support phase is crucial in many ways-
- Feedback from regular use of software tells us areas of improvement
- Adoption of system makes our customer the best ambassadors we could ever ask for
- Each of our team member feels attached to the achievement of project delivered, since it defines a milestone in their career
- Obviously the revenue from after market services helps healthy re-investment in upgrades and updates of the product.
We offer several services in our post project life cycle support program and it is customizable to a large extent-
- Product upgrades and updates
- Periodic Health checks
- Query responses
- Remote and onsite support
- Additional training sessions to address churn in end-user personnel’s
- Supervision, configuration and troubleshooting
- Change order based migrations, integration (own and other systems), reporting changes
