Datastack

Unlock the power of your data to drive your competitive advantage.

  • Nebuli’s Datastack® opens up unlimited possibilities for your team to turn your data silos into actionable results with easy access to Nebuli’s Augmented Intelligence services.

  • The Datastack also combines multiple public-cloud AI/ML/automation tools without the hassle of reinventing the wheel with repetitive software development life cycles.

Datastack combines the traditionally separate business-critical services, such as RPA, data security, compression, modelling, classification, segmentation, knowledge discovery and much more into a single, integrable technology stack.

Key Benefits

  • Data readiness for achieving successful digital transformation strategies.

  • Strategic data migration from legacy database models and excel sheets to integrable cloud databases.

  • Unifying scattered internal and external data silos.

  • Enhancing data security protocols and data privacy policies.

  • Easier and more efficient hybrid cloud integration, combining your on-premises servers or private cloud with public cloud services.

Our mission with the Datastack is to establish a new standard that helps teams and organisations uncover new business opportunities and hidden augmented intelligence capabilities through their trapped data that can dramatically transform their output across markets.

Framework Structure

The Datastack is about data quality, not just quantity.

We help you explore your data pain points and work with you in defining your ultimate data-driven outcomes by producing the right metrics and conditions for your end-users.

Redefining The “New”

The original “Data Stack” was seen as the new, unofficial concept popularised in the Big-Data sectors, involving collecting and managing large amounts of data from varied sources in one place to provide meaningful business insights and analytics.

But, there is a problem…

This legacy Data Stack concept is now outdated in the new post-digital transformation era.

Today, more industries than ever before are converging into newer, more diverse, and more dynamic transformations using smarter data models with better regulatory alignments.

We built our Datastack framework as the new standard for smarter and decentralised digital ecosystems of the future.

Data Security with the Nebulized Data Layer.

Security and data privacy are the most critical elements of Nebuli’s entire ecosystem and are at the heart of the Datastack framework.

The Nebulized Data Layer® (NDL) is our innovative data security layer that completely circumvents the need for customers to upload copies of their original data.

The NDL forms the central part of the Datastack and contains a customer’s indexed data needed for sepcific tasks. The system then compresses this indexed dataset into its internally generated semantic and ontological models that allows it to read data in any format, language and from any vertical.

The NDL processing generates Nebuli’s unique machine language that offers superior data compression, flexibility, speed and security to customers’ “Nebulized” data. This layer eliminates any footprints leading back to the customer’s original data sources.

The NDL Process:

  • 1.

    Customer dataset pre-processing – creating data description maps to allow Nebuli algorithms “understand” the datasets.

  • 2.

    Data extraction – indexing the critical data parameters needed by Nebuli for a given task without storing the rest of the data.

  • 3.

    Data Decomposition – breaking down the indexed datasets into smaller tasks that can be parallelised within Nebuli’s operations.

  • 4.

    Further Extraction of “useful” data parameters – where Nebuli selects subsets of data indices to built its “Data-Driven World”.

  • 5.

    Final normalisation of the extracted data – to reduce data redundancy and improve data integrity, while forming Nebuli’s internal representation of the customer’s data.

The Datastack framework operation is independent of any data formats, platforms and languages.

For our customers, this offers an unmatched, more accessible, personalised and faster cross-disciplinary and cross-regional data integrations and interoperability.