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Business Transformation

Data Analytics

A Modern Data Stack for the Modern Business

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Unlocking the Value in Data is Our Specialty

The world of analytics is changing. Companies are migrating legacy systems to the Cloud, aiming to become truly insight-driven and empower employees by granting them greater access to information. We specialize in a range of data analytics services offering end-to-end data solutions and everything in between. We can provide a free evaluation trial to create a proof of concept using any of our partner tools, as well as provide a free Demo or Workshop for your team.

FIND YOUR DATA SOLUTION TODAY

Data Strategy

Business needs
Tool comparison
Architecture definition
Project planning

Data Engineering

Data Integration/ELT
Data warehousing
Data modeling
Migration to Cloud

Business Intelligence

Reporting
Dashboarding
Metrics definition
Ad hoc analysis

Machine Learning

Predictive Analytics
Forecasting

Data Products

Embedded analytics
Web development
UX/UI Design

Adoption

Rollout planning
Training & workshops
Documentation

VP of Data @ Preply

“Preply is still growing very fast: we have big plans for B2B and expanding operations in our key markets, and we’re becoming a mobile-first company. Looker allows us to measure the impact of our initiatives and maximize business outcome.”

Alessandro Pregnolato | VP of Data @ Preply, Full Success Story

What is a Modern Data Stack?

A “modern data stack,” or custom cloud infrastructure, is a collection of SaaS tools that create a user-friendly, efficient, and holistic experience for your teams, leaders, and entire business.

Featuring seven key components, the modern data stack’s goal is simple but highly rewarding: gather and unify data from any number of sources necessary into a single repository so that real-time, comprehensive data supports and drives better decision-making across an entire organization.

 Data Sources
Data Sources

As you look to unlock the power of your data, first you need to identify where all of your different sources of information exist.

 Integration
Data Integration

Automate the process to extract, load, and transform your data securely.

Database
Data Warehouse

The data warehouse is where all of your data comes together, your new Single Source of Truth.

Gear Process
Data Modeling

This takes the raw data from your Single Source of Truth and converts it to usable business intelligence logic.

Line Chart
Business Intelligence

A collaborative platform that provides self-service analytics to end users, including for actionable insights, embedded analytics, and even advanced data products.

Transfer
Reverse ETL/ELT

Sometimes referred to as “data activation,” this function send transformed data back through the pipeline, allowing your departments to work in their native programs.

Agile
Data Observability

Mature data teams want to ensure Data Reliability and Trust within the organization by monitoring and tracking in near real-time the health and state of the data in the system.

Chief of Staff @ Verse

“I feel empowered by being able to get all my questions answered by myself.”

Sergi Mollins | Chief of Staff @ Verse, Full Success Story

Unsure Where to Start? We Can Help.

Data Modernization, Defined

Transforming the way you and your company view and use data can be the revolutionary step that takes your organization to the next level. Whether the goal is to find homeostasis through a hybrid cloud setup that leverages any combination of public cloud, private cloud, and on-premise or you’re looking to make a complete shift to a scalable modern platform, we can meet you where you’re at. We’ll consider your long-term goals and recommend the best roadmap to success.

Map Out Your Data Modernization Today.

Data Strategy & Discovery

Gather business users requirements, list all data sources, compare data tools, and design a data stack architecture to meet your data modernization goals.

Implement the Infastructure

This is where we’ll take our roadmap and implement the structure necessary to get the data from where it is versus where it needs to end up.

Business Logic Creation

From raw data to actionable KPIs, merge and model your data sources in a centralized repository to get reliable metrics that support the specificities of your business.

Data Review, Training, & Adoption

Collaborating with your end-users, we’ll run tests to ensure that your data is ready to better support your business and empower employees to leverage their new technology.

A Modern Stack is Your Data Analytics Hub

Where IT, Statistics, and Business Converge

Questions fly from one end of companies to the other. What happened? Why exactly did it happen? What’s trending? What’s our forecast for sales? Deriving the answers to these questions requires massive data input, output, and analysis — which is made efficient and actionable by data analytics.

A modern data stack enables you to leverage all four types of data analytics: descriptive, diagnostic, predictive, and prescriptive.

Connect with an expert

Descriptive Analytics

Descriptive analytics pulls both historical and current data from all of your sources to give a complete picture of your organization’s state and any changes.

Diagnostic Analytics

Leveraging data from descriptive analytics, diagnostic analytics can unearth the factors causing the trends that have influenced past performance.

Predictive Analytics

Using statistical modeling, forecasting, and Machine Learning (ML), predictive analytics can help make predications about future outcomes.

Prescriptive Analytics

Prescriptive analytics is an advanced technique that can recommend solutions to specific desired outcomes.

Our Approach for Fast Results

Our worldwide team tests out and weaves together best-in-cloud technologies to provide superior service to our clients. One of our incredible lineups is Looker, Snowflake, and Fivetran, which help companies take control of their data, develop of single source of real-time truth, and leverage the best insights.

FivetranLogo

A tool that automates your data pipeline

Fivetran is a fully managed and scalable extract and load tool transforming the way businesses approach their Extraction-Load-Transform (ELT) process.

It is the fastest way to connect all your information sources to your data warehouse; with more than 170 connectors and its predefined schemas, you can configure your pipeline in a matter of minutes.

The tool provides a maintenance-free solution to reliable, high-volume data integration that scales. It also automatically adjusts to source changes and reliably centralizes data in to the destination of your choice.

Learn More About Fivetran

SnowflakeLogo

A data warehouse built for the Cloud

Snowflake is a cloud-based elastic warehouse with unique features that makes computations easy and economical, facilitating a major change to the data pipeline. Enjoy this near-zero maintenance platform that handles infrastructure, optimization, data protection and more, in addition to giving you the flexibility to choose between your preferred cloud providers.

With a multi-cluster shared data architecture that allows you to pay only for the resources you use, and its ability to share both structured and semi-structured data instantly and securely, Snowflake provides a solution for modern data warehousing, data engineering and data lake needs.

Learn More About Snowflake

LookerLogo

A new type of data analytics platform

Looker’s collaborative modeling layer allows for centralized definitions of business logic as well as accelerated model development and deployment. Its direct connection to your database means that your organization can have access to real-time analytics.

Looker’s philosophy is to provide self-service analytics, empowering users to carry out their own analysis and create reports or visualizations independently.

The Looker API also allows you to integrate the tool into your existing workflows and deliver data to where your business users need it most.

Learn More About Looker

Best Practice and Strategic Thinking Converge Here

Where Function + Creativity Meet

Get the best of both by working with a team of experienced digital transformation service providers, skilled with both technical execution and creative problem-solving.

When you choose a partner for data transformation and AI you want someone who does more than check boxes and talk — you want people who think on your behalf.

Talk to an advisor

Checklist
Advisory, Governance + Enablement

Get the latest best practices for Centers of Excellence (COE) development and change management strategy to enable digital transformation services.

Hierarchy
End-to-End Integration Services

Connect your enterprise systems to Best-in-Cloud technologies, utilize both near and offshore development, and use multiple ETL tools.

Transfer
Enterprise Integration + Strategy

Maximize your digital transformation performance with white-glove architecture services that help you identify and implement the right integration strategies.

AI Increases Efficiency + Productivity

Gain a 445% Return on Investment

Integrative data transformation utilizing Machine Learning (ML) and Artificial Intelligence (AI) services are your path to the peak. Companies get better returns, elevating outcomes, when data integrates effectively.

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Put Your Data to Work

Leverage your company’s most valuable asset: data.

Speak to a Data Expert