A lot of businesses are in the same position, but it won’t be long before your competition figures out how to use their data more effectively. Here’s what’s likely holding you back:
● Data is often hidden away and isolated in data islands within the enterprise.
● Proliferation of data sources is making it harder to discover what could be most helpful.
● Data-centric talent is increasingly in demand and competitive to recruit.
● Traditional leaders lack the skills to create a data-driven culture.
● Legacy technologies are not designed for a data-focused future.
Our approach to Data Management focuses on the enhancement and efficiency of data practices at each stage of the data lifecycle – from the time it is created and stored, to when it is transformed and analyzed, to the time it becomes obsolete and is archived or deleted.
Our data science team comprises functional consultants, data scientists, and machine learning engineers, who have rich expertise in solving a variety of complex business problems using advanced analytics techniques and helping companies make the most of their available data.
Data Management
All data requires some management to turn into valuable information—but not the same level of management. With a data management strategy, we help classify data and define the level of management needed so that it turns it into valuable information consistently over time. We will help you avoid paying more than what's needed for that valuable information.
Data Assessment
From the time data is created to the time it's analyzed and archived, there are opportunities to maximize its business value. In this assessment, we'll review each stage of your data lifecycle to ensure valuable information is created repeatedly at scale.
Data Architecture
We design agile, modular, and scalable solutions that serve as the foundational hubs to all data and analytics needs. Our modern data architecture services include: designing data warehouses, data lakes, and data lakehouses; data modeling; data security; data storage solutions; cloud, on-prem, or hybrid architectures, master data management, and health checks.
Cloud Services
We build and deploy cloud-based solutions for all data and analytics assets. We can help with cloud readiness assessments, initial cloud platform standup, solution architecture in the cloud, data migration to the cloud, cloud serverless solutions, platform security, platform health checks, and cost optimization.
Data Integration & Data Engineering
We develop, manage, prepare, transform, and deliver data flows and integrations to enable analytics at scale. We specialize in data integration and data pipelines, data preparation and enhancement, ETL/ELT, health checks, proprietary/open-source solutions, and data quality.
Data Governance
We will help you take a democratized approach to data governance so that your data governance framework isn't over-engineered and integrates naturally into your business processes, leading to higher user adoption and quicker results.
Data Quality & Data Security
We will help you identify the people, processes, and technology to put in place so that you can streamline data cleaning efforts and prevent bad quality data from being created in the first place so that your data and analytics systems are secure and trustworthy.
Our team comprises experienced professionals with several years of rich industry and functional experience, who strive in following a holistic approach towards building, testing, and deploying advanced analytics solutions to ensure quality at every aspect of the project. We collaborate end-to-end with stakeholders in all phases of projects and focus on execution with the help of three drivers- cost, quality, and revenue by keeping you at the centre.