Data and Analytics

Data is the fuel that powers your organization's decisions and actions...
...and AI is only as good as the data it is based on.

Nearly every organization is awash in data. As customer interactions have increased, so has the amount of data that is generated and ingested within the organization. Businesses are looking to make effective and timely decisions based on accurate insights from this data, which is an important strategic asset for the organization, both today and in the future with Generative AI. Unfortunately, all too often this volume of data does not help an organization glean information to act upon!

Data, both structured and unstructured, is often stored across organizations siloed in various transactional systems from ERP to CRM to Social. Even today, data is often not integrated and aggregated in a centralized repository for efficient analysis due to technology challenges or costs with integrating data.

The result – Inconsistent, incomplete or inaccurate data that not only requires significant labor to integrate but fails to provide accurate, timely insights. This can impede an organizations ability to deploy modern AI in an increasingly competitive market.

At Rockhop Data & Analytics we specialize in understanding your current data-related challenges, whether technical or process-related. We review your data architecture, key performance indicators in the context of your strategy and goals, and AI opportunities. We then provide solutions to help you glean actionable insights. We have experience conducting strategy workshops, requirements gathering, design, governance, development, and implementation of data warehouses and data lakes. We also have expertise with the latest AI technologies, descriptive and predictive analytics, and data visualization.

64zb

Data created in 2020

33%

Organizations not effectivly using data for decesion making

11%

Project CAGR Data & Analytics market by 2028

Motivators

Leverage data in the strategic decision-making process to drive revenue growth and decrease costs

Reduce the time it takes to collect and integrate multiple data sources

Improve the quality and completeness of data for better insights

Provide the ability to self-create and automate the sharing of reports, data and visualizations

Add new sources of internal and external data to the current data warehouse, data lake or other data stores

Eliminate redundancy of multiple data stores and reporting/visualization platforms

Reduce capital expenses by moving enterprise data to Microsoft Azure cloud

Comply with industry and government regulations

Collect and Integrate

The foundation of any successful data and analytics framework depends on accurately and reliably ingesting and integrating source data from all sources, internal and external - that we can identify and source, to provide a rich breadth and depth of actionable data for insights. We specialize in understanding organizational requirements and performing detailed data discovery identifying existing and additional data that may be needed to support the organization. We design the processes to pull in on-premises and cloud data to meet descriptive or predictive analytical needs as well as building a strong foundation for Generative AI needs of the business. Our team develops and deploys data integration services to bring this data into data stores using Azure Data Factory or additional tools in Fabric such as Fabric Data Factory or Fabric Data Engineering as well as other third-party tools.

Store

Data being collected today is both structured and unstructured. Therefore, data platforms need to be designed to load both types of data in a fast, timely and cost-effective manner into platforms such as Azure SQL, Fabric OneLake, Azure Databricks and/or Snowflake. The Rockhop team will review your business requirements, current data and analytics technology footprint(s) and existing organizational skills to then recommend data platforms as appropriate. The objective is both efficient ingestion into data storage as well as fast access based on different types of users – executive, casual, business analyst, data engineer and data scientists.

Analyze & Visualize

When people within the organization are not presented needed insights because usability, access or confusion, we help with discovery of existing tools, reports and dashboards to propose immediate solutions. We also help the organization act upon information through sophisticated automation based on organizational thresholds and triggers. With Microsoft Power Automate and Power BI, flows for review and approvals can easily and quickly improve how information is shared within the organization. For those organizations looking to do more advanced predictive analytics to uncover opportunities, we can help you understand and deploy Azure Databricks, Azure Machine Learning, and other Azure AI services.

Explore More Data and Analytics Resources

Join Rockhop experts as they provide insights, demonstrations, and use case scenarios.

Power BI Integrations
Join Venice for a discussion on integrating Power BI and Power Platform application integrations.

Power Platform Simplifying Governance Use Case
Dave takes us through an overview of the process, tools and structure a low-code enabled organization should consider for governance. This presentation discusses opportunities to enable the business in a collaborative and effective way.

You have a vision.
Our experts will help you acheive it.

Speak with a Rocker today!