Page 5 - Brochure Flipbook

SPiZone Labs TECHNOLOGY SECTION

A Enterprise are still dependent on variety SPi Labs is an unique conceptualization In today’s world of big data, consider a steady stream of insights to boost revenue, faster time
of business documents such as invoices, and development hub to foster innovation to deliver or smarter decision making for your business - However, if the data is fragmented,
Financial Statements, regulatory forms etc and experimentation leveraging new age un-curated and with low quality it can’t be optimally used. Possibly, your business has lot of dark
for critical data elements. Unstructured data and open source capabilities. SPi Labs data and untapped information, hence It is becoming increasingly difficult to utilize this Information
formats have demanded excessive human brings together software engineers, subject in an effective way for decision-making.
involved repetitive tasks to consume such matter experts, researchers, data analyst
documents. SPiZone enables enterprises to and technology specialists to expand the SPi provides customers accurate and comprehensive data to enable better search, navigation and
automate data extraction and processing capabilities of SPi and explore innovative analysis through our Data Management & Data Enrichment services supported by our Operations
tasks, reducing cost and speeding up solutions in order to help organizations and capabilities along with the technology capabilities mentioned above. SPi’ specialists and data experts
operations. Built on a Machine Learning society make better use of big data and enable global information companies to optimize their Information systems with data cleansing,
(ML) engine, SPiZone is SPi’ Information domain knowledge. Example of SPi Labs normalization, aggregation, and abstraction capabilties. We support leading database products
extraction suite using cognitive models to solutions include automated discovery of across multiple industries; including science, medicine, engineering, legal, financial and business
achieve market-leading accuracy in PDF business relevancy and extract concept in information, risk and compliance, media and entertainment.
and image extraction. the health and science domain, research to
understand words and terminology in a legal
Key Differentiator - need to have document using semantic analysis and Data Management
feature + benefit natural language processing. SPi Labs con-
• Automation & Accuracy – Over 20MM tinues to invest in proprietary cognitive
pages processed reducing TAT on technology which could solver complex First step in having good data is identifying the right data. SPi applies in proven technology capabilities
data extraction by 40% problems in invoice processing and and time tested processes in Source Discovery & Analysis, Cleansing & Normalization, De-Deduplica-
• Cognitive Learning – custom ML models handwritten text recognition. tion & Disambiguation and Metadata Management services.
that are deployed to improve extraction
accuracy and achieve continuous improve Key Differentiator - need to have For unstructured data discovery & analysis, we focus on identifying the right source based on usage,
ment over 6-12 months. feature + benefit inspect for correctness and confidence and analyse by aggregating multiple sources across domains to
• Flexible Operating Model – can be • Experimentation – map the best data to meet business needs. Authenticity, Currency, Volume, Coverage, Richness and
deployed as a SAAS or PAAS model with • Rapid Development – *will get some inputs Acceptance are some of the key elements of our discovery and analysis process.
an SME layer. from technology team in terms of SPi’ data cleansing / normalization services ensure a single version of data is available to clients for

products developed,” accurate decision making. We do this by analysing datasets available within client landscape and
• Easy access to SME & Process experts – procured from additional sources to understand data quality issues, data patterns and business rules
Unit with over X years of AI and ML to be applied and deriving a quality framework leveraging our custom ML models and algorithms
models. Background in multiple domains that’s best suited for the industry and client.
including banking, life sciences, healthcare,
publishing and moreusing semantic analy The de-duplication, standardization, disambiguation service leverages key de-dupe & standardization
sis and natural language processing. SPi modules in our Insights Engine that also refers to proprietary knowledge repositories to standardize
Labs continues to invest in proprietary reference data like company names, product names and terminologies. Data experts can customize
cognitive technology which could solver algorithms based on data cleansing strategy needed.
complex problems in invoice processing
and handwritten text recognition. Metadata management is a key issue for users, internal and external, to discover information. From
creation of metadata, to extraction and normalization SPi Global can assist in all areas of metadata.

Case study : a short writeup of how we do these activities. Lets write 2 para’s. 1 for Source discovery,
Cleansing, Normalization, De-dep (could be D&B) and 1 for Metadata Management (don’t know)