Business Intelligence (BI) & Data Management

Aligning business goals with IT strategy for Adaptive Advantage

Systech helps you grow your business and respond to signals in real-time, using the data that you already have to achieve Adaptive Advantage. We deliver the data management strategies & information architecture to drive Business Intelligence & Advanced Analytics throughout your organization. Our data management services combine data from all your systems,  merging & transforming the data to build usable models that can be streamed into an analytics engine. Exploring and analyzing  your data reveals opportunities for profitability, efficiencies and growth.

How we do it

Transforming your Data into Actionable Insight

Ingest & Unify

First, we take all your data sources and store them in a single environment. We work with existing legacy systems and integrate data you already have to make analysis easier for you down the line. We bring together everything from tables and databases, to cloud applications and even unstructured data like emails and social media interactions, until you have a single, unified dataset.

Transform & Model

Next, we make sense of your data in order to create a data model that, when applied, drives outcomes for your business. We employ techniques in data science, including feature engineering & algorithm design to turn raw data into meaningful, clearly defined insight. This, in turn, creates new data that flows back in automatically, ensuring the model is always up-to-date and productive. 

Analyze

With just a few steps, we can help your teams apply machine learning & advanced analytics to dive deep into specific business use cases, and find the factors that are impacting your bottom line. Now your teams can discern and respond to the right signals in the market to grow your business, retain customers, and realize opportunity. The best part is that for certain clients, we’ve been able to make this analysis & business impact happen quickly–demonstrating the ROI for IT investments in just a few weeks time.

Services

  • Data Management

    Data Warehousing & Architecture
    Enterprise Data Integration
    Data Lifecycle Management
    BIg Data Management
    Cloud Migration Services
    Master Data Management
    Security & Governance
    Data Transformation
    Data Virtualization
    Data Lake

  • Advanced Analytics

    Machine Learning
    Outlier Detection
    Predictive Analytics
    Forecasting
    Recommendation Engine
    Pricing Optimization
    Predictive Maintenance
    Anomaly Detection
    Performance Optimization

  • Embedded Analytics

    White-label Enterprise Solutions
    Application & Portal Development
    Customer Facing Applications
    Real-time Data Stream
    Backend Analytic Infrastructure

  • Reporting & Visualization

    Executive Dashboards
    Business KPIs & Metrics
    Infrastructure Visibility
    Operational Performance
    Actionable Alerts
    Custom APIs
    Forecasts & Predictive Reports
    Root Cause Analysis
    Enterprise Reporting
    Data Governance & Security

  • Managed Services

    Staff Augmentation
    Continuous Process Improvement
    Analytics Application Maintenance & Support
    Prototyping

How can this help you?

Technology & Capabilities

Agile & Flexible Architecture

  • Easily introduce new data sources into your current data model
  • Generate ad-hoc reports and analytics across enterprise data
  • Develop custom BI Applications for reporting and analytics
  • Reusable data across different BI Applications

Consistent Data with a Single View

  • Establish a single definition and single source of data to simplify your environment
  • Uniformly apply business logic and definitions across your data sources

Improved Data Quality

  • Automate data cleansing during ETL
  • Gain data validation and control

Reduced Data Latency

  • Make data available as quickly as you need it through automated ETL processes
  • Quicker time-to-value with improved infrastructure & overall performance

Transfer knowledge securely & seamlessly

  • Disseminate analytics across teams and users at all levels
  • Govern & set permissions for reporting among various users & business departments

Strategic Coherence

Close the gap between IT Strategy & Business Needs

  • Identify core business objectives & create a roadmap for how to achieve them
  • Identify gaps in skills, processes, people, & technology
  • Maximize your existing IT investments applying them within the context of business goals
  • Understand the “healthiness” of your IT environments; Identify which technologies or projects are inefficient or costly. Streamline or upgrade to remove waste

Develop a common language between Business + IT

  • Unify your Business & IT teams along the same strategic objectives.
  • Establish a common framework & understanding for how your data should be used, and how it can be served and stored as a result.
  • Establish a metadata layer to reduce data redundancy across business functions.

Implement impactful, strategic business use cases

  • Understand what your environment is capable of, and pursue business use cases that can be achieved with little to no investment
  • Enjoy a streamlined, high-performing architecture to discover new trends in your data & reveal business opportunities
  • Define business use cases from this level of visibility

Develop an IT ecosystem that runs efficiently & cost-effectively

  • Strategically pursue new projects based on viability & impact to your business
  • Design new capabilities & IT investments around business goals & objectives
  • Only invest in IT strategy that you know will pay off

Don’t just take our word for it…

Our customers

Success Story: Digital Transformation to the Cloud

A major media company was dealing with changes in business & online distribution channels, and needed the capabilities to evolve and scale their analytics. Given the explosion of data from digital channels of distribution (from 60+ online distributors like Amazon, Netflix, & Hulu), the multiplication of subject areas, data sources and geographic feeds from across the world, the environment was maxed out.  The existing EDW was primarily an on-premise environment primarily supporting all reports, dashboards and the data science/analytics.  It was prohibitively expensive to continue scaling this infrastructure to meet growing needs.  Systech migrated this analytics environment to the Amazon Web Services (AWS) Cloud platform so that the EDW could handle the rapidly changing business requirements.  This also enabled the rapid integration of new external data streams.  The Cloud-based analytics platform provided several benefits to the organization and enabled agility, scalability, self-service options across the distributed organization and overall capabilities.

adminBusiness Intelligence & Data Management