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BI & DATA ANALYTICS
CONSULTING

We discover, design and develop advanced information technology, and translate that into value for
our clients through consulting services.

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BUSINESS & IT STRATEGIES
ALIGNED

Our Technology Strategy & Advisory practice helps architect and realize exceptional business value
from technology to empower government agencies to better serve the American people.

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AGILE PROJECT
MANAGEMENT

Better management of software development projects that
focus on continuous releases and incorporating customer feedback
with every iteration.

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INFORMATION
TECHNOLOGY CONSULTING

We discover, design and develop advanced information technology, and translate that into value for
our clients through consulting services.

About us

Reliant Global Technology is an SBA 8(a), GSA Multiple Award Schedule Small Business, and 100% minority owned management. We are a technology services company founded in 2011 with hands-on experience in our respective IT fields.

Our core competencies are enterprise IT services, cloud technology solutions, data analytics, data virtualization advanced analytics, DevOps, machine learning, ServiceNow, primavera P6 and agile project management.

Our Services

Accelerate business outcomes across the enterprise with our suite of services. Streamline operations to drive revenue, business innovation, growth, and resiliency.

Cloud
Services

We focus on enterprise-grade cloud data services.
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Data
& Analytics

The efficiency and accuracy of each...
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Project
Management

Proven way to transform your business,
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Software
Development

We automate end-to-end delivery pipeline..
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Cyber
Security

Our security program provides an experienced...
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Salesforce & ServiceNow Support

As a ServiceNow & Salesforce Premier....
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Our Markets

We serve clients across a broad range of industries, with deep knowledge and experience in the key sectors that have fueled the growth of the economy.

Government Analytics

Government Analytics

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Health and Wellness Analytics

Health and Wellness Analytics

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Oil & Gas Analytics

Oil & Gas Analytics

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Retail Analytics

Retail Analytics

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Our Business Strategy

Get on a path to maximize your technology investments and increase the value of your organization.

Put your customers and employees front and center to plan their digital transformation journey.

Create a framework and policies to proactively anticipate the needs of your business to achieve sustainable results.

Put together a solid risk management plan to prepared for as many adverse events as possible so that you can ride out almost any storm.

Design a connected business to align initiatives and technology with strategic objectives.

Re-imagine a future that fuels innovation, drives engagement and increases brand equity.

Data & Analytics Strategy

Analytics solutions can help organize the data your business is already collecting to provide valuable insights for decision-makers.

Visualizations

You should be able to quickly spot trends and outliers and avoid introducing confusion via bad presentation.

Story Telling

The dashboard should present the context of metrics and anticipate the user path of investigation and diagnosis.

Democratization of Data

Who has access to what data? Encourage sharing and wide-spread adoption and define common definitions and metrics across the organization.

Data Granularity

Be able to provide right level of detail for the right audience. An analyst may need more detailed information than an executive, and some people may need drill-down capabilities.

Business Intelligence & Analytics

Many organizations struggle to run truly effective and impactful analytics programs. It’s not easy and requires the right people, process, and technology components to work.

Reliant Global Technology’s enterprise data and analytics services can help you get there with a balanced approach that starts small but moves fast and delivers quick wins.

Reliant Global Technology Experience & Services:

  • Enterprise Business Intelligence
  • Self-Service Analytics Enablement
  • Advanced Analytics & Data Science
  • Machine Learning / Artificial Intelligence (ML/AI)
  • Mobile Analytics
  • Cloud Analytics

Azure Cloud Modernization

The benefits of leveraging cloud platforms to enable business agility and scale are clear and has driven explosive growth in migrations to cloud platforms. Data & analytics solutions are no exception, and most organizations are either planning or have already started to incorporate cloud platforms and tools into their data & analytics architecture.

From designing an Azure cloud strategy and architecture, to execution of cloud migrations, we helped several organizations large and small leverage the cloud to drive successful data & analytics programs.

  • Cloud analytics strategy & planning
  • Cloud data architecture
  • Cloud data migration
  • Software selection or tools rationalization

We give our clients results ,fast.

We’ve been providing analytics consulting services since the early 2011s. With exciting new BI tools and state-of-the-art analytics solutions continuing to flood the market, we know how to cut through the noise to make sure you implement the right platform so you can move your business forward.

 

1,500

Experienced Advisors

240

Experts

11

Years of Experience

3,457

Satisfied Customers

Request a free consultation

1,500

Experienced Advisors

1,231

Qualified Data Engineers

328

Project Done For Our Clients

11

Years Of Experience In The Industry

We believed the innovative tech can help us provide a unique differentiated services offering to government agencies as we meet most of their requirements right out of the box.

 

Featured Technology Partners

Become More Analytically Mature

Gathering and Documenting Business Requirements

Defining the business requirements is to identify a champion, all stakeholders, and SMEs in the organization. Next is to define the strategic goals and tie department activities to business goals.

Through this process, we’ll discover what leaders are trying to measure, what they are trying to improve, questions they want answered, and ultimately, the KPIs to answer those questions.

By starting with gathering and documenting the business requirements, we overcome the first roadblock to many IT or technical projects: knowledge of what the business is trying to accomplish.

Analyzing Data Source and Data Strategy

With a good understanding of what questions the business is asking, we can turn to the next element: analyzing data sources, how that data is gathered, and where the data exists. It’s unlikely that all data will be available within the organization and that it already exists in a place that’s accessible. So, we need to work backward to find the source.

For most of our clients, we built a matrix that mapped each source data to thier respective data category. We identified their business questions, understood the data needed to answer the question, and mapped each to a source system.

Data Architecture and Security

Our first piece of advice is: Don’t get caught up in the hype and latest technologies; focus on the business reasons for your initiatives. Building a flexible and scalable data architecture is a complex for which there are many options and approaches.

A modern data architecture represents all stages of the data lifecycle, from original data source to reporting-all the way through to analytics. An architecture diagram will identify and represent all the source systems, the methods to ingest data and the landing spots for that data (data marts, data lakes, and data warehouses).

Data Visualization, Understand and Interpret

A data strategy should provide recommendations for how to apply analytics to extract business-critical insights, and data visualization is key.  Data visualization tools should make the data look good, but more importantly, make the data easier to understand and interpret. 

Visualizations - Story Telling - Democratization of Data and Data Granularity: Be able to provide right level of detail for the right audience. An analyst may need more detailed information than an executive, and some people may need drill-down capabilities.

Data and Analytics Training

As we’ve stated, becoming data driven requires more than just technology. In this stage we look at the people in the organization and the processes related to creating, sharing, and governing data. A data strategy is likely going to introduce more data and data analysis and maybe new tools.

Based on this, it makes sense to look at the skillsets of the users to understand their strengths and where they’ll need support.

Do they need data and analytics training?

Do you need to hire more people?

Organizational structure should also be assessed—should analysts be aligned to a business unit or to IT?

And how IT will support the business in their analytics needs?

Data Dictionary and Governance

Data governance is what ultimately allows enterprise level sharing of data and analytics practice.

A data governance program will ensure that:

  • Calculations used across the enterprise are determined based on input from across the enterprise.
  • The right people have access to the right data.
  • Data lineage (where did the data originate and how was it transformed since that origination) is defined.

We don’t look to a tool to solve data governance; it’s people work, and it has to happen. Data governance takes leadership and sometimes navigating through difficult conversations.

Data Strategy Roadmap and Recommendation

The data strategy roadmap is the culmination of all the work we’ve done to this point and what makes all our previous work actionable. We’ve identified all that needs to happen to bring you from where you are to where you’d like to go, but before getting started with any design, build, training, or re-engineering of a business process, it’s critical to prioritize the activities.

For each recommendation that will help bridge the gap from current state to the future state, define the feasibility and expected business value it will provide. The plan should prioritize activities that are easiest to implement but also provide quick wins to the business.

Other factors to include in the data strategy roadmap are:

  • Staff availability and whether outside help is required.
  • A company’s budgeting process, specifically if a capital investment is required.
  • Competing projects that might prevent the right resources from participating.

The roadmap should also contain a timeline that allows for celebration of incremental wins that are earned along the way.

Business Requirements

Gathering and Documenting Business Requirements Defining the business requirements is to identify a champion, all stakeholders, and SMEs in the organization. Next is to define the strategic goals and tie department activities to business goals. Through this process, we’ll discover what leaders are trying to measure, what they are trying to improve, questions they want answered, and ultimately, the KPIs to answer those questions. By starting with gathering and documenting the business requirements, we overcome the first roadblock to many IT or technical projects: knowledge of what the business is trying to accomplish.

Sourcing and Gathering Data

Analyzing Data Source and Data Strategy With a good understanding of what questions the business is asking, we can turn to the next element: analyzing data sources, how that data is gathered, and where the data exists. It’s unlikely that all data will be available within the organization and that it already exists in a place that’s accessible. So, we need to work backward to find the source. For most of our clients, we built a matrix that mapped each source data to thier respective data category. We identified their business questions, understood the data needed to answer the question, and mapped each to a source system. Through this process, we’ll discover what leaders are trying to measure, what they are trying to improve, questions they want answered, and ultimately, the KPIs to answer those questions. By starting with gathering and documenting the business requirements, we overcome the first roadblock to many IT or technical projects: knowledge of what the business is trying to accomplish.

Technology Infrastructure Requirements

Data Architecture and Security Our first piece of advice is: Don’t get caught up in the hype and latest technologies; focus on the business reasons for your initiatives. Building a flexible and scalable data architecture is a complex for which there are many options and approaches. A modern data architecture represents all stages of the data lifecycle, from original data source to reporting-all the way through to analytics. An architecture diagram will identify and represent all the source systems, the methods to ingest data and the landing spots for that data (data marts, data lakes, and data warehouses).

Why Choose Us

We Create Value for your Business

We help our clients accelerate growth potential, using technology to align business strategy, building competencies that empower them to create value and growth for thier business.

We Provide Excellent Customer Service

We provide excellent customer service and surpassing our clients expectations that helps our culture and understanding to be truly customer base focused

Competitive Pricing

One of our goals is to save our customers money. On average, our customers are seeing a cost savings of 45% or greater.