We help build long-term capabilities that companies can rely on.
By finding the root of your low analytics ROI, we can streamline adoption to achieve quantifiable success. DataFactZ employs a pragmatic approach in developing personalized solutions with strong analytic foundations, to maximize your ROI.
Let’s define a clear vision with you from the start to maximize the return on your analytics initiative.
Business process and maturity assessments help us better understand your business strategy and objective. We identify priorities and pain points to pull out a shortlist of possible initiatives with clear objectives.
We first translate objectives into analytical requirements, creating a high-level solution design and horizontal capability strategy. A tech shortlist is finalized so that investments and returns can be accurately assessed.
A detailed execution roadmap and a skills/expertise strategy are both drawn out to ensure maximum efficiency. After determining the technology stack, we use a data readiness analysis to define the data science operational framework.
DataFactZ conducts a technology maturity assessment and a technology gap analysis, defining technology requirements in order to determine the recommendations, cloud strategy, and technology evaluation roadmap.
The rise of Cloud innovations and SaaS offerings by ISVs are relentlessly propelling the business and technology sectors forward.
With strong partnerships with leading Cloud providers including AZURE and Google Cloud Platform, DataFactZ can recommend a robust Cloud adoption strategy that best aligns with your unique goals, systems and workloads.
Enterprise Cloud Strategy
Enterprises are adopting a “Cloud First” strategy to deliver mission-critical application services. It provides a powerful foundation and focuses on low-cost, best-effort delivery in order to gain business agility and competitive edge.
Whether your Cloud journey is hybrid, multi, private or public, we can build the optimal roadmap for your organization.
Cloud Readiness Assessment
DataFactZ will analyze the infrastructure, applications, and services of your business with a prime focus on Cloud readiness, selecting what can, what should, and what cannot be migrated into the Cloud. Our Cloud Readiness Assessment takes on the following steps:
Design an optimal Cloud strategy by leveraging templates and tools to catalog the existing applications, infrastructure and network architecture, prioritizing the workloads and applications for Cloud migration.
Target Platform Mapping
Determine which Cloud platform fits the strategy and design a high-level target infrastructure and Cloud platform architecture that accommodate the security and risk requirements.
Perform a cost-modeling exercise estimating future Cloud consumption based on existing workloads, comparing overall costs between your current and estimated future IT expenditures.
Develop a detailed deployment strategy for all applications that are in scope, along with a proposal for future phases.
Leverage deep data knowledge to gain a competitive advantage in each stage of the data lifecycle.
Data Acquisition: Establish the process, policies and technologies for acquiring data
Data Ingestion and Qualification: Determine a strategy for selecting what data will be ingested into the analytics architecture and ensure it can satisfy business requirements
Data Quality & Master Metadata Management: Consider Data Quality and Metadata throughout the entire analytics landscape
Data Curation: Ingest data and model it for consumption
Data Certification: Validate data to increase business trust
Data Consumption: Realize business analytics use-cases with various analytics solutions, ranging from BI to predictive analytics and advancing into AI solutions
Data Archival: Archive data for disaster recovery and other purposes
Establish the process, policies and technologies for acquiring data
Determine a strategy for selecting what data will be ingested into the analytics architecture and ensure it can satisfy business requirements
Consider Data Quality and Metadata throughout the entire analytics landscape
Ingest data and model it for consumption
Validate data to increase business trust
Realize business analytics use-cases with various analytics solutions, ranging from BI to predictive analytics and advancing into AI solutions
Archive data for disaster recovery and other purposes
Big Data offers new doors of opportunity for organizations to utilize data in ways that extend their competitive advantage, but many are unsure of where to start.
Our readiness assessment and conceptualization for Big Data is designed to help you identify and prioritize beneficial areas, as well as the steps to take towards gaining value through Big Data and its related technologies.
Develop Business Use Cases
Show Return On Investment
Provide an Implementation Roadmap
DataFactZ’s core expertise is helping customers define their unique technology requirements, with a system for evaluating available tool options that has withstood the test of time.
Identify both immediate and future projects.
Review, prioritize, and analyze the functional requirements for each project.
Identify required technical functions and capabilities.
Create a Vendor RFP and collect, evaluate, and manage vendor responses by assigning a value to each function point.
Identify 1 or 2 appropriate vendors to deliver a Proof of Concept, focusing on key areas of concern.
Evaluate key factors such as scalability, ability to handle large amounts of data, numbers of users, licensing, costs, and security.