LumenData

Predictive IoT

Aggregate raw data to make meaningful predictions in real time.

LumenData’s Predictive Analytics Platform makes it easy to use machine learning algorithms for real-time classification of streaming data from connected apps, devices, and sensors.

Intelligent Algorithms
Our catalog of machine learning algorithms classifies streaming data into discrete actions in real-time with up to 99% accuracy.  Use this information to make better predictions and smarter apps.

Streaming Data Infrastructure
We provide the infrastructure necessary to collect, store, and classify streaming data, all as a service.  Stay focused on growing your business while we manage the massive amounts of data.

Analytics and Visualizations
Aggregate data from all of your devices to perform analytics across the entire data set.  Discover and visualize valuable insights for better customer segmentation and smarter product development.

 

In addition to developing custom algorithms specific to your needs, we are also available to build custom SaaS applications that use our machine learning algorithms.

We have developed algorithms for multiple markets including recruiting, venture capital, healthcare, manufacturing, e-commerce, and online education.

Learn More About Our Implementation Capabilities

Learn More about LumenData's Predictive Analytics Platform

How the Predictive Analytics Platform Works

Step 1
LumenData’s engineers will work hand-in-hand with your team to add a few lines of code to device software to stream data into the Predictive Analytics Platform via websocket.

Step 2
The joint team will use the Predictive Analytics Platform model builder to select the right machine learning algorithm and build your classification model.

Step 3
LumenData will leverage the streaming data model to immediately begin classifying your streaming data.

Step 4
Results will be received immediately as a parsed data stream to power apps or as reports or visualizations for direct consumption.

 

LumenData’s Analytical Process

1) Acquire

  • Acquire all data.  Nothing is irrelevant.
  • Frequency of acquisition
  • Log/Change data is important
  • Store in High Capacity unstructured repository (e.g. Hadoop)

2) Organize/Prepare

  • Data Cleansing, standardization, normalization of disparate sources
  • Data Profiling
  • Transform/Link data
  • Organize data in analyzable format and load

3) Select Thesis based on Business Imperatives

  • Map Business Imperatives to Analytical thesis and goals
  • Break goals down to measurable small steps
  • Pivot proposed Taxonomy on variables associated with outcomes

4) Analyze Data

  • Iterate on analyses via statistical, descriptive or machine learning techniques
  • Leverage both Descriptive and Predictive Analytics

Why Choose LumenData?

Enterprise Data Management Expertise. At LumenData, we focus exclusively on MDM, Data Quality, and Data Governance. And with our deep-rooted product knowledge from decades of experience in leading and developing MDM products at major MDM software companies, we understand what it takes to implement MDM quickly and with lower risk.

Data Governance and Data Quality. A governance program that supports data-related decisions and actions is crucial to the success of your MDM implementation. LumenData’s Data Governance services help to coordinate and align all stakeholders on data policies and procedures. Our Data Quality services span from health checks to enterprise data quality deployments across multiple domains.

Our Partnerships Set Us Apart. We work with our partners to co-build products, influence product direction, and build complementary solutions.  We bring industry-specific expertise by being involved with our partners’ marketing- and customer-facing teams to accurately meet the needs of customers.  Learn more about our Partners.

Pre-built Integration Solutions. In addition to our MDM expertise, LumenData has developed many integration solutions to fast-track MDM deployment. These solutions include integrations to cloud and on-premise applications such as Salesforce.com, Peoplesoft, and Siebel CRM.

Cloud Expertise. As some applications move towards the cloud while others stay on-premise, enterprises will face key decisions on how to manage their data across different environments. With our cloud expertise, we can guide you in choosing the most effective environment for your company, whether it is staying on-premise, moving to the cloud, or a hybrid of both.