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Business Intelligence

Machine Learning/AI

Managed Analytics

Data
Integrations

Data Warehousing

Process
Management

Getting Started
Services

Establishing Executive and Operational KPIs

BUSINESS INTELLIGENCE (BI) ANALYTICS

Leveraging the power of a Cloud Data Warehouse, modern BI tools such Tableau, Sigma and PowerBI enable access to information at all levels of the organization.

Clients usually start with a few use cases and create Key Performance Indicators (KPIs) to measure success. From a high level KPI view, users can then drill down into the details to understand the variations and choose a course of action to improve.

Example KPIs and Dashboards:

  • Executive-level KPIs for revenue, margin and EBITA KPIs with drilldown capabilities by product, division, vendor, and customer.
  • Operational-level KPIs and drill-downs to determine variations from baseline and early warning alerts.
  • Vendor, customer, office, and employee benchmarking and outlier identification.
data & analytics initiatives from strategy through execution

Actionable decision support systems

MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (AI)

Take your analytics to the next level by leveraging machine learning and artificial intelligence to provide insights from our Data Scientists. These types of projects predict a desired outcome or future action and usually involve lots and lots of data to determine what’s important in the prediction.

Results from predictive models are extremely valuable when they are embedded into Decision Support Systems (DSS) or Processes.

Example outcomes and future actions:

  • Scoring prospects to determine which are most likely to become a client, thus increasing the effectiveness of the sales team.
  • Segmenting (aka grouping) customers to determine what products or services they would most likely be interested in.
  • Scoring customers to determine who is most likely to attrite (aka leave).
  • Creating an early warning indicator for service and manufacturing failures.
MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (AI)

Our Data Scientists, Your Data

Managed Analytics Services

Time to market is crucial.  Leverage our ability to manage your Predictive Models, Business Intelligence and Data Pipeline while you focus on making insights actionable.  Integress allows your organization to delay or totally avoid the costs of attracting and retaining highly specialized IT staff for data management and analytics.  By blending our experienced data professionals with your staff, you can focus on what really matters. Ongoing support ensures that once a data-driven objective is met, it continues to deliver results and grow in value to your organization.

MANAGED ANALYTICS SERVICES​

Acquiring, extracting, and transforming data

CLOUD DATA INTEGRATIONS AND CURATION

The number of technologies and patterns in this space has exploded in the last years.  A classic battle between lift-and-shift traditional vendors (Informatica, Talend, etc.) and born-in-the-Cloud vendors (Matillion, Singer/DBT, etc.) is being waged.

We are technology agnostic, but we of course have our favorites.  

These projects typically include the following types:

  • Data acquisition from transactional systems (Oracle, SQL Server, DB2, etc.) or data feeds (CSV, EDI, etc.)
  • Data acquisition from SaaS products (Salesforce, WorkDay, etc.)
  • Data acquisition from streaming sources (Twitter, etc.)
  • Curation of data to normalize and standardize so its useful for the BI and Data Science teams
  • Data extracts to send information to clients, vendors or suppliers
CLOUD DATA INTEGRATIONS AND CURATION​

Increase access and lower TCO

CLOUD DATA WAREHOUSING

One of the most exciting areas in the Cloud Data Ecosystem is the modern MPP (massively parallel processing) Data Warehouse. Products like Snowflake and Azure’s Synapse are at the center of the Cloud Data Ecosystem transformation.

These products enable functionality not available a few years ago such as separation of compute and storage (for lower TCO), horizontal and vertical scaling (for more users or throughput), and easier setup and administration to name just a few.

These projects typically include the following types:

  • Analytical data structures for use by BI or Data Science teams
  • Historical snapshots and change data capture (CDC)
  • Data Sharing with customers, partners and vendors (***only available with Snowflake***) 
CLOUD DATA WAREHOUSING​

Organizational changes to realize value

PROGRAM AND PROCESS MANAGEMENT

Leverage our program delivery management services to ensure that results are in alignment with priorities. Complex data analytics projects and programs are unique and require executive level leadership to drive the strategy to execution. This typically involves preparing the organization for change and creation of new processes that will realize value from the data assets and projects.

PROGRAM AND PROCESS MANAGEMENT

About Us

Integress, the Philadelphia-based Data Analytics Company, helps companies understand, build and accelerate their Cloud Data Ecosystem, Warehouse, Business Intelligence, Machine Learning, and AI capabilities. 

Through a combination of business consulting to the C-Suite and deep data expertise, we deliver measurable value from our client’s data assets that meet business outcomes of increasing revenue and profit, creating new revenue streams, gaining competitive advantages, and becoming customer-centric.

Since 1998, we have been a trusted voice working alongside CxOs to meet corporate goals that leverage data as a strategic asset, while accelerating time to market, reducing execution risk and ensuring business-to-IT alignment. 

 

Contact Us

1100 E. Hector St., Suite 430 Conshohocken, PA 19428 610.664.1711

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