Crystal Delta’s data and analytics teams and services operate according to our simplified enterprise architecture model.
In our model, Information is at the centre. Ultimately, all businesses operate with this core currency. No matter how complex the enterprise architecture is, each component needs information inputs, and also outputs information.
Crystal Delta’s data consultants are versed in both management of data and the business applicability of data. They can assist internal data and business information teams to uplift the level of data driven decisions with your organisation.
The data consulting services span the full lifecycle of data and how it is integrated to benefit the business. The key pillars of the service are:
An audit of your existing business data landscape + recommendations
Identifying the data you use, you could be using, and the new data you need
Assisting you with a blueprint for a business optimised data layer structure
Putting in place the policies and procedures for data management
Implementing the data systems which make up the backbone of a data driven business
Building effective connections between data systems for timely movement of data
Implementing and configuring the tools for data movement through its lifecycle
Building Business Intelligence reports and custom dashboards that aid business decisions
Designing the reports that are timed to best serve key business decisions and drive business outcomes
Mapping trends in historical data to project future possibilities and better prepare the business
Augmenting existing business information systems with key business data for easier consumption
Enhancing the business processes and corporate culture through data rich apps for daily use
There are many exciting developments in the domain of advanced analytics, and no less the progress that has been made in bringing the fringe of the analytics spectrum closer to mainstream.
Most of the well known platforms such as Uber, Airbnb, Amazon, FedEx, Netflix, use advanced analytics to optimise their operations and enhance the customer experience.
Machine learning and deep learning systems to generate insights from large and diverse data sets
Development of advanced algorithms to model and predict individual and group behaviours
Establishing labs within organisations to coach and grow their advanced analytics skills
Developing independent business decisioning systems operating with high levels of scrutiny
Dependence on a legacy ERP platform with module data silos and ineffective reporting capabilities, impacting business, operations, and marketing decisions.
Time taken to produce reports is not aligned with the speed at which decisions need to be made in a more dynamic and competitive landscape.
Architecture and design of a new
cloud-based data capability to enable business transformation. Proposing a new data warehouse for single source of truth for business, market, and operations data.
Daily synchronisation of data from ERP for faster reporting and data visualisation with Tableau.
Business is able to respond quicker to market conditions with greater data visibility and timely reporting for data driven decisions across Sales, Procurement, Inventory, Logistics, and Marketing divisions.
Excel replacement web application for simpler and quicker calculation of true material costs and sales margins.