Immuta Overview - February 2016

THE PROBLEM

Massive investments are being made in big data, but organizations are stuck. Data is spread out across silos, locked down by security policies and data owners, and data scientists spend most of their time hunting for data, not uncovering opportunities. Frustrated by these barriers to successful data science, we built a way to make it easier.

SECURE YOUR DATA Control your data at the most granular level, tweak controls dynamically on the fly, and track absolutely everything that’s done with your data

ACCESS YOUR DATA Access all the disparate data across your organization from a single catalog. No more hunting for data or writing code to connect to various data sources.

UNLEASH YOUR DATA Put your algorithms into production easily, where they’ll collect and generate even more insights. No re-coding, security, or IT effort involved.

One product that powers your entire data science workflow.

44 © 2015 Immuta All Rights Reserved, www.immuta.com

Where Immuta fits in the IT enterprise eco-system.

ACCELERATE CREATION OF DATA SCIENCE TEAMS To be successful, data science and analytic development teams need rapid access to enterprise data, data processing frameworks and a production environment to test/deploy models. Immuta provides all three so that model development is the focus and not standing up infrastructure or negotiating access to key data sets.

RAPID ACCESS TO BIG DATA WITHOUT A MASSIVE INVESTMENT Big data environments are highly valuable to any data-driven enterprise, however, they take time and significant resources to build. Meanwhile, Immuta provides federated access to existing silos of data as well as Hadoop eco-systems to provide rapid, virtualized access to data.

BUILT IN COMPLIANCE & SECURITY AROUND ANALYTICS Compliance within analytics is complicated. This is even more so in global organizations that maintain silos of sensitive data with complex data sovereignty rights. Policies change as does regulation. Immuta provides the ability for analytics to run without being impacted as policies change. Furthermore, Immuta provides end-to-end auditing around the analytic workflow for compliance officer review.

AUDITING

You can audit all actions by users against your data: who accessed it, when, and why. You can even know what new data (reports, analytics…) were generated from that data. This is great not only for compliance, but for strategy: you understand what data you have, and how your using it.

VIRTUAL REFERENCING

At the heart of Immuta’s security is the fact that we reference all of your data virtually. You don’t have to consolidate your data into a single, murky data lake. And you never have to export your data to share with others.

GRANULAR SECURITY

Because your data is not forced into a data lake, you can apply security policies to each piece of data, rather than a generic security policy for the whole lake. Each piece of data is treated uniquely, and carries its security, rules, and history with it.

DYNAMIC CONTROL

You can change policies on the fly without having to re-tag your data. Any change you make will instantly impact how users view and use your data.

SECURE YOUR DATA Policies run rampant across organizations, and missteps can be grave. Immuta’s security is so granular and air-tight that even the most stringent organizations can confidently let their data scientists work.

ACCESS YOUR DATA To work their craft, data scientists need access to data, sometimes in its rawest form. But getting access to this data is a massive challenge. With Immuta, you can discover and access all the disparate data across your organization from a single, secure catalog.

SECURITY IS BUILT IN

When you access data in Immuta, your view of the data is based on the policy logic attached to that data. Write algorithms knowing no matter what you do, you will not introduce a security leak.

SHOP FOR DATA, VIRTUALLY

Immuta references all the data across your organization virtually and securely, and surfaces it in a single, well-catalogued library. Data owners expose their data sources, you “shop” for the data you need, and then request access. You can check out data virtually, and check in new insights about one or many datasets.

STRUCTURED AND UNSTRUCTURED DATA The Immuta data layer is not restricted to only structured data. You can share, wrangle, analyze, and restrict unstructured data sources. If your data is structured, Immuta provides a single SQL connection across all exposed data sources in addition to the file system view for ultimate flexibility.

DATA WRANGLE ONCE

Data wrangling is time consuming; share your work. Because Immuta lets you contribute back new derived data sources, nothing creative done with data is ever lost, and no user will ever has to repeat a data wrangling task

ALL YOUR DATA IN ONE PLACE

As soon as you’re given access to data, it appears in your Immuta virtual file system. You can write your algorithms in whatever language you want, and share and execute your code in this file system without having to re-write anything.

REACT TO EVENTS IN REAL TIME

Take your successful algorithms and promote them to “the factory,” where they will react to streaming IoT data and produce live insights. Because Immuta’s engine reacts to the data as it arrives, your resources are efficiently provisioned for the workload of the moment. No need to build scalable logic or understand elastic infrastructure.

INHERITED SECURITY

The engine receives only the events that it has access to, based on the security policies specified by the data owner.

LAB TO FACTORY

What you create in the lab runs without change in the factory. No need to change your work just to make it production worthy; it just works. You can use your favorite language rather than a nascent API that may change tomorrow.

UNLEASH YOUR DATA PowerPoint is where models go to die. Most models don’t make it into production because of the effort involved in programming for scale, data migration, and security. Immuta lets you put your algorithms into production effortlessly, where they’ll generate live insights.

88

How Immuta accelerates the creation and adoption of analytics

© 2015 Immuta All Rights Reserved, www.immuta.com


LOW RISK INVESTMENT •  Raw data remains in-place

•  Allows engineers to socialize views vs. creating a single truth up front

DATA COLLABORATION •  Collaborate and build, but leaving the

raw system of record in-tact

IMMEDIATE ROI •  Secure data access & discovery

•  Rapid “lab-to-factory”: Sample data, model data, release product

TALENT ENABLER •  Near immediate access to raw sources

•  Data presented at lowest common denominator – no new APIs

•  IP catalogued; discoveries live on

BIG DATA •  We enable “reactive” stream based

analytics

•  We help objectively populate & secure your data warehouse or lake rather than subjectively

GRANULARITY •  Security carries through to products

•  Flexible yet granular security applied uniquely to all raw data accessed

•  Who is touching what & why over time

Features that tilt the balance for enterprise analytic productization

10

Case Study 1 (Secure Data Science)

Protection of PII and other sensitive data between Hedge Fund and Lender

•  DATA SECURITY •  DATA ACCESS •  MASKING •  BI VISUALIZATION


NEEDS •  Register sources with masking and dynamic policies

•  Expose data once and apply filters based on groups

1111© 2015 Immuta All Rights Reserved, www.immuta.com

An overview of the data flow for each data scientist

•  Low startup cost

•  Use legacy analytics (day one)

•  Ability to hook right into existing BI tools

•  No new languages, run SQL queries and existing scripts (python, R)

•  No need to move data around

•  Audit everything including all model building steps - compliance is inherited

WORKFLOW •  Drone flies over the rail line daily and

captures images

•  Images streamed back for analysis

•  Analysis reveals issues

•  Push notification to proper systems

•  Mechanic teams in the area alerted

•  Automate everything!

Case Study 2

Automating rail safety with real-time analytics and drones.

•  LEGACY ALGORITHMS •  DATA SILOS •  REAL-TIME DATA •  BI VISUALIZATION


2. New derived data source exposed

3. Data analytics in lab

4. Deploy lab code to factory

5. React to new data

6. Expose as customer product

Low Cost Low Risk Data Collaboration Talent Enabler

Retain IP Infrastructure

Elasticity Immediate ROI

Remote Data Sources

1. Exposed in BoData

Lab to Factory

A process management workflow designed for data scientists


The Lab

Using Immuta and its file system to build and test models


The Factory

React to data in real-time without having to re-write models

•  Able to use many legacy algorithms in several languages

•  Compare many models at once and share code & results

•  React to new datasets without needing to re-write any code

•  Simple hooks for BI users to receive data

Questions Contact Us

Matt Carroll CEO

[email protected]

Documents

Immuta Overview - February 2016