Sainapse DQM®
Over the last 50 years industry has experienced an explosion of data volume, data types & sources of data. Businesses have to come to accept that data would be always growing & constantly evolving.
Downstream data-driven actions however have always been designed using deterministic (if-this-then-that) rules.
The sheer disconnect between the nature of data (evolutionary & constantly changing) & the rules (static & never changing) has led to incorrect & poor data quality.
Sainapse DQM eliminates this core disconnect by autonomously generating business rules every time there is a change in underlying data. Using its proprietary patent-pending algorithms Sainapse DQM stays always current with the state of data & therefore the state of business.
With Sainapse DQM, enterprises can first deduplicate & ensure uniqueness in their databases with NO effort spent in rule writing or data pre-work, As the next step, enterprises can enrich their data quality by ensuring the accuracy & validity of existing data and updating missing fields referring to data sources that are certified by the enterprise. In addition, Sainapse DQM enables maintaining consistency and helps to conform with desired data compliance norms.
Sainapse DQM completely eliminates the need for spending & effort on data cleaning & ensures data quality in real time.
Technology Differentiators
Sainapse® delivers its industry-defining capabilities through a combination of proprietary technology platforms, architecture, and design principles, that include:
Intelligent Field consolidation
- Ability to ascertain near duplicates in addition to exact duplicates across any number of columns
- Works seamlessly across schemas & languages
- Provides the base for data enrichment where needed
Intelligent Row consolidation
- Ability to ascertain near duplicates in addition to exact duplicates across any number of rows with any number of fields
- Works seamlessly across schemas & languages
- Provides the base for data enrichment where needed
Ability to categorize records based on enterprise needs & extent of similarity
- Adjustable slider to define the extent of similarity allows enterprises to optimize in line with business needs
Workflow framework & orchestration capability
- Native workflow framework that allows for the creation of any script using simple Java
- Orchestration capability of triggering, monitoring & error handling of existing automation scripts or enterprise transactions
Omlingual capability
- Ability to seamlessly process all left to right languages
Masking of PII or specifically identified entity
- Ability to mask PII or specifically identified entity (disease names, shares/stock codes, mention of specific topics for example)
- Making Sainapse native designed to satisfy GDPR, California Privacy Laws & even future privacy regulations
Intelligent Data Markers
- Ability to extract higher level entities (name, address, location, contract IDs, etc.) using advanced Transformer Network algorithms
- Ability to train on the custom data and create intelligent filters on the fly
- Making Sainapse identify & isolate specific data elements in the processing of classification & recommendation
Learn from the least & incremental learning
- Using its patented learning algorithm, designed to learn from a selected sample from the population making the speed of the learning industry beating
- Ability to learn & unlearn incrementally in quick time makes Sainapse always stay current with approved knowledge bases & certified data sources
- Semi-supervised learning requires hardly 20-40 confirmations irrespective of data volume
Elastic Data Adaptor
- Ability to plug into any data source & convert the same to its internal universal World View format for the purpose of machine learning functions
- Ability to process all commonly used data formats including images, powerpoints, excel, pdf, word & voice transcripts
Faster Indexing
- Proprietary indexing function leading to the high-quality partial ordering of indexed data elements & documents
- Proprietary indexing function leading to high-quality partial ordering of indexed data elements & documents
Low Latency, Scalable
- Extremely low search latency due to faster indexing
- Parallel data partitioning algorithms
Certifications & Compliances
Performance Test
Stress, Spike, Load, Endurance, Volume, Scalability
Information Security
SAST, DAST, ISO 27001, CSA, Zero Trust
Data Privacy
GDPR, CCPA, SOX and SEC compliant
Usability, Accessibility & Inclusion
HTML 5, Section 508, and WCAG2.0 compliant
Enterprise Hyperscale
AWS, GCP, Azure
Containerisation
Service and Data Containerization
Deployment Model
Public, Private, Hybrid
Authentication
LDAP SSO, AD integration
Licensing
License Management, Billing Engine
Org Compliance
ISO 9001, SOC 2 (wip)
Sainapse® DQM Pricing
1. Always clean data – Subscription pricing principles
Sainapse DQM pricing is designed to capture all dimensions of the user enterprise’s data quality-related needs & associated landscape. Users can granularly define just what is needed for now & leave the rest to be added on demand at a later date. Sainapse DQM offers industry-beating time to market & RoI reducing overall TOC.
The following section describes the principles & steps for arriving at the license subscription price.
01
What you want to fix
Sainapse DQM addresses 6 core dimensions of Data Quality, namely - uniqueness, completeness, accuracy, validity, consistency & compliance. Sainapse DQM comes pre-set with Uniqueness. Users can add one or more of the remaining 5 dimensions to this list
02
How you want to fix
Sainapse DQM offers two flexible pricing model. Sainapse DQM PRO allows the user to detect gaps & correct(enrich)the same. Sainapse DQM PRO Plus allows the user to set it up for prevention there by obviating need for periodic detection.
03
Data volume
Once above two decisions are taken, then Data volume becomes the center piece of Sainapse DQM pricing. Enterprises need to identify target data which Sainapse DQM will be working on. For Sainapse DQM's processing purposes it is important to ascertain the estimated existing number of rows & also forecast the growth on a monthly or yearly basis.
04
Data complexity
Data complexity for Sainapse DQM is measured via number of fields that specificrecord carries. Complexity of deduplicating records with more than 100 columns is more complex when compared to ones with less than 20 fields for example.
05
Choose the engines you need
Sainapse DQM offers 8 different engines that between them address most business needs of the day comprehensively. They include frameworks for Workflow, Rules for exception handling, Event & orchestration, Language switch, Pll processing, Image & entity recognition & lastly SAFE Rendering that allows Sainapse recommendation to be visible from within existing workplace across applications.
06
Think deployment List
Sainapse DQM is always installed within the user enterprise's digital perimeter &integrated with source & target applications. It is therefore important at this stage to build an idea of possible deployment landscape & estimate number of integration points that would be necessary.
07
Estimate Admin & SME
Sainapse DQM pricing needs users to identify only 2 classes of users. Data Stewardusers are typically SMEs whose validation of auto generated results are importantfeedback to the Al engine. Admin users are entrusted with all IT & configurationrelated access. This is the last step in the pricing process.
2. Subscription price list
SRTI22001
Sainapse® EDA - upto 5 applications
25,000
24,500
SRTI22002
Sainapse® EDA - 5 - 10 applications
40,000
39,200
SRTI22003
Sainapse® EDA - Additional application
5,000
4,900
SRTI22004
Sainapse® EDA - Additional application - Unlimited
100,000
98,000
SDDU22001
Sainapse DQM Data Steward 5 Named Users
12,500
12,250
SDDU22002
Sainapse DQM Data Steward - Add on users
2,500
2,450
SDDU22003
Sainapse DQM Data Steward - Unlimited
50,000
49,000
SDDU22004
Sainapse DQM 5 Named Admin Users
25,000
24,500
SDDU22005
Sainapse DQM Named Admin Users - Add on
5,000
4,900
SDDU22006
Sainapse DQM Named Admin Users - Unlimited
50,000
49,000
SCOE22001
Sainapse® Cognitive Operations Engine - Workflow framework
40,000
39,200
SCOE22002
Sainapse® Cognitive Operations Engine - Reporting framework
25,000
24,500
SCOE22003
Sainapse® Cognitive Operations Engine - Rule framework for exception handling
25,000
24,500
SCOE22004
Sainapse® Cognitive Operations Engine - Event & Orchestration framework
40,000
39,200
SCOE22005
Sainapse® Cognitive Operations Engine - SAFE rendering framework
20,000
19,600
SCOE22007
Sainapse® Cognitive Operations Engine - Language Switch
40,000
39,200
SCOE22008
Sainapse® Cognitive Operations Engine - Classification
140,000
137,200
SCOE22009
Sainapse® Cognitive Operations Engine - Cross Channel RT Correlation
80,000
78,400
SCOE22010
Sainapse® Cognitive Operations Engine - Routing
60,000
58,800
SCOE22011
Sainapse® Cognitive Operations Engine - Remediation
60,000
58,800
SCOE22012
Sainapse® Cognitive Operations Engine - Attachment Processor
80,000
78,400
SCOE22013
Sainapse® Cognitive Operations Engine - Image & Entity Recognition
100,000
98,000
SDPU22001
Sainapse® DQM Pro - Uniqueness - Number of records <10M with fields <50
0.0072
0.0071
SDPU22002
Sainapse® DQM Pro - Uniqueness - Number of records <10M with fields <100
0.0090
0.0088
SDPU22003
Sainapse® DQM Pro - Uniqueness - Number of records <10M with fields <250
0.0113
0.0110
SDPU22004
Sainapse® DQM Pro - Uniqueness - Number of records <100M with fields <50
0.0018
0.0018
SDPU22005
Sainapse® DQM Pro - Uniqueness - Number of records <100M with fields <100
0.0023
0.0022
SDPU22006
Sainapse® DQM Pro - Uniqueness - Number of records <100M with fields <250
0.0028
0.0028
SDPU22007
Sainapse® DQM Pro - Uniqueness - Number of records <1B with fields <50
0.0005
0.0005
SDPU22008
Sainapse® DQM Pro - Uniqueness - Number of records <1B with fields <100
0.0006
0.0006
SDPU22009
Sainapse® DQM Pro - Uniqueness - Number of records <1B with fields <250
0.0008
0.0007
SDPT22001
Sainapse® DQM Pro - Completeness - Number of records <10M with fields <50
0.0072
0.0071
SDPT22002
Sainapse® DQM Pro - Completeness - Number of records <10M with fields <100
0.0090
0.0088
SDPT22003
Sainapse® DQM Pro - Completeness - Number of records <10M with fields <250
0.0113
0.0110
SDPT22004
Sainapse® DQM Pro - Completeness - Number of records <100M with fields <50
0.0018
0.0018
SDPT22005
Sainapse® DQM Pro - Completeness - Number of records <100M with fields <100
0.0023
0.0022
SDPT22006
Sainapse® DQM Pro - Completeness - Number of records <100M with fields <250
0.0028
0.0028
SDPT22007
Sainapse® DQM Pro - Completeness - Number of records <1B with fields <50
0.0005
0.0005
SDPT22008
Sainapse® DQM Pro - Completeness - Number of records <1B with fields <100
0.0006
0.0006
SDPT22009
Sainapse® DQM Pro - Completeness - Number of records <1B with fields <250
0.0008
0.0007
SDPA22001
Sainapse® DQM Pro - Accuracy - Number of records <10M with fields <50
0.0072
0.0071
SDPA22002
Sainapse® DQM Pro - Accuracy - Number of records <10M with fields <100
0.0090
0.0088
SDPA22003
Sainapse® DQM Pro - Accuracy - Number of records <10M with fields <250
0.0113
0.0110
SDPA22004
Sainapse® DQM Pro - Accuracy - Number of records <100M with fields <50
0.0018
0.0018
SDPA22005
Sainapse® DQM Pro - Accuracy - Number of records <100M with fields <100
0.0023
0.0022
SDPA22006
Sainapse® DQM Pro - Accuracy - Number of records <100M with fields <250
0.0028
0.0028
SDPA22007
Sainapse® DQM Pro - Accuracy - Number of records <1B with fields <50
0.0005
0.0005
SDPA22008
Sainapse® DQM Pro - Accuracy - Number of records <1B with fields <100
0.0006
0.0006
SDPA22009
Sainapse® DQM Pro - Accuracy - Number of records <1B with fields <250
0.0008
0.0007
SDPV22001
Sainapse® DQM Pro - Validity - Number of records <10M with fields <50
0.0072
0.0071
SDPV22002
Sainapse® DQM Pro - Validity - Number of records <10M with fields <100
0.0090
0.0088
SDPV22003
Sainapse® DQM Pro - Validity - Number of records <10M with fields <250
0.0113
0.0110
SDPV22004
Sainapse® DQM Pro - Validity - Number of records <100M with fields <50
0.0018
0.0018
SDPV22005
Sainapse® DQM Pro - Validity - Number of records <100M with fields <100
0.0023
0.0022
SDPV22006
Sainapse® DQM Pro - Validity - Number of records <100M with fields <250
0.0028
0.0028
SDPV22007
Sainapse® DQM Pro - Validity - Number of records <1B with fields <50
0.0005
0.0005
SDPV22008
Sainapse® DQM Pro - Validity - Number of records <1B with fields <100
0.0006
0.0006
SDPV22009
Sainapse® DQM Pro - Validity - Number of records <1B with fields <250
0.0008
0.0007
SDPN22001
Sainapse® DQM Pro - Consistency - Number of records <10M with fields <50
0.0072
0.0071
SDPN22002
Sainapse® DQM Pro - Consistency - Number of records <10M with fields <100
0.0090
0.0088
SDPN22003
Sainapse® DQM Pro - Consistency - Number of records <10M with fields <250
0.0113
0.0110
SDPN22004
Sainapse® DQM Pro - Consistency - Number of records <100M with fields <50
0.0018
0.0018
SDPN22005
Sainapse® DQM Pro - Consistency - Number of records <100M with fields <100
0.0023
0.0022
SDPN22006
Sainapse® DQM Pro - Consistency - Number of records <100M with fields <250
0.0028
0.0028
SDPN22007
Sainapse® DQM Pro - Consistency - Number of records <1B with fields <50
0.0005
0.0005
SDPN22008
Sainapse® DQM Pro - Consistency - Number of records <1B with fields <100
0.0006
0.0006
SDPN22009
Sainapse® DQM Pro - Consistency - Number of records <1B with fields <250
0.0008
0.0007
SDPM22001
Sainapse® DQM Pro - Compliance - Number of records <10M with fields <50
0.0072
0.0071
SDPM22002
Sainapse® DQM Pro - Compliance - Number of records <10M with fields <100
0.0090
0.0088
SDPM22003
Sainapse® DQM Pro - Compliance - Number of records <10M with fields <250
0.0113
0.0110
SDPM22004
Sainapse® DQM Pro - Compliance - Number of records <100M with fields <50
0.0018
0.0018
SDPM22005
Sainapse® DQM Pro - Compliance - Number of records <100M with fields <100
0.0023
0.0022
SDPM22006
Sainapse® DQM Pro - Compliance - Number of records <100M with fields <250
0.0028
0.0028
SDPM22007
Sainapse® DQM Pro - Compliance - Number of records <1B with fields <50
0.0005
0.0005
SDPM22008
Sainapse® DQM Pro - Compliance - Number of records <1B with fields <100
0.0006
0.0006
SDPM22009
Sainapse® DQM Pro - Compliance - Number of records <1B with fields <250
0.0008
0.0007
SDSU22001
Sainapse® DQM Pro Plus - Uniqueness - Number of records <10M with fields <50
0.0086
0.0085
SDSU22002
Sainapse® DQM Pro Plus - Uniqueness - Number of records <10M with fields <100
0.0108
0.0106
SDSU22003
Sainapse® DQM Pro Plus - Uniqueness - Number of records <10M with fields <250
0.0135
0.0132
SDSU22004
Sainapse® DQM Pro Plus - Uniqueness - Number of records <100M with fields <50
0.0022
0.0021
SDSU22005
Sainapse® DQM Pro Plus - Uniqueness - Number of records <100M with fields <100
0.0027
0.0026
SDSU22006
Sainapse® DQM Pro Plus - Uniqueness - Number of records <100M with fields <250
0.0034
0.0033
SDSU22007
Sainapse® DQM Pro Plus - Uniqueness - Number of records <500M with fields <50
0.0006
0.0006
SDSU22008
Sainapse® DQM Pro Plus - Uniqueness - Number of records <500M with fields <100
0.0007
0.0007
SDSU22009
Sainapse® DQM Pro Plus - Uniqueness - Number of records <500M with fields <250
0.0009
0.0009
SDSU22010
Sainapse® DQM Pro Plus - Uniqueness - Number of records <1B with fields <50
395,000
387,100
SDSU22011
Sainapse® DQM Pro Plus - Uniqueness - Number of records <1B with fields <100
525,000
514,500
SDSU22012
Sainapse® DQM Pro Plus - Uniqueness - Number of records <1B with fields <250
625,000
612,500
SDSU22013
Sainapse® DQM Pro Plus - Uniqueness - Number of records <3B with fields <50
495,000
485,100
SDSU22014
Sainapse® DQM Pro Plus - Uniqueness - Number of records <3B with fields <100
625,000
612,500
SDSU22015
Sainapse® DQM Pro Plus - Uniqueness - Number of records <3B with fields <250
725,000
710,500
SDSU22016
Sainapse® DQM Pro Plus - Uniqueness - Number of records <5B with fields <50
595,000
583,100
SDSU22017
Sainapse® DQM Pro Plus - Uniqueness - Number of records <5B with fields <100
725,000
710,500
SDSU22018
Sainapse® DQM Pro Plus - Uniqueness - Number of records <5B with fields <250
825,000
808,500
SDSU22019
Sainapse® DQM Pro Plus - Uniqueness - Number of records <7B with fields <50
695,000
681,100
SDSU22020
Sainapse® DQM Pro Plus - Uniqueness - Number of records <7B with fields <100
825,000
808,500
SDSU22021
Sainapse® DQM Pro Plus - Uniqueness - Number of records <7B with fields <250
925,000
906,500
SDSU22022
Sainapse® DQM Pro Plus - Uniqueness - Number of records <10B with fields <50
795,000
779,100
SDSU22023
Sainapse® DQM Pro Plus - Uniqueness - Number of records <10B with fields <100
925,000
906,500
SDSU22024
Sainapse® DQM Pro Plus - Uniqueness - Number of records <10B with fields <250
1,025,000
1,004,500
At Sainapse DQM, we offer results-driven solutions that transforms your enterprise data quality & analytics. If you believe the above pricing does not appropriately or adequately captures your data quality needs & realize its full potential and you would prefer to have a detailed discussion then please reach us via our Sales team. Alternately feel free to drop in a mail addressed to letsdiscuss@sainapse.ai
3. Implementation pricing
Sainapse® DQM implementation plan typically carries milestones targeting one DQM dimension at a time. The sequence usually starts with detection & followed by correction/enrichment and then setting up for prevention. Implementation project may includes 8 distinct roles depending on scope & data complexity. Effort & timelines are then estimated for each role. Given below is the list of roles & their rates.
SDIM01
Data Engineer
Provides software Implementation and support for multiple large-scale projects that cross-cut multiple specialization and product development areas.
B.A. or B.S. degree in related field
5
367
275
SDIM02
Senior Data Engineer
Provides technical or scientific and project support for multiple large-scale software Implementation projects that cross-cut multiple specialization and product development areas.
B.A. or B.S. degree in related field
7
433
325
SDIM03
Information Architect
Designs Intranet/Internet/Extranet architectures and develops software implementations plans; administration activity.
B.A. or B.S. degree in related field
8
400
300
SDIM04
Senior Data Architect
Provides supervision, person designs Intranet/Internet/Extranet architectures sand develops software implementations plans; administration activity.
B.A. or B.S. degree in related field
10
467
350
SDIM05
Project Manager
Possesses a thorough understanding of the process requirements and provide both technical and management oversight of software implementation services for the project
B.A. or B.S. degree in related field
5
367
275
SDIM06
Senior Project Manager
Provides supervision, person possesses a thorough understanding of the process requirements and provide both technical and management oversight of the project.
B.A. or B.S. degree in related field
7
433
325
SDIM07
Integration Engineer
Provides integration services, connecting Sainapse EDAs with APIs / SOAP connectors of target applications in the landscape.
B.A. or B.S. degree in related field
5
367
275
SDIM08
KM Specialist
Focusses on capturing and building knowledge related to specific use case operation. Deliverables of a KM manager includes Operations & User Manuals and all project related documentations.
B.A. or B.S. degree in related field
5
367
275
SDIM09
Business Process Expert
BPX gets involved initially to capture the nuances of business processes and finalize the to-be dataflow. This forms the basis of integrations, exception handling, and correction / enrichment rules.
B.A. or B.S. degree in related field
7
433
325
SDIM10
Data Engineer - Remote
Provides software Implementation and support for multiple large-scale projects that cross-cut multiple specialization and product development areas.
B.A. or B.S. degree in related field
5
110
80
SDIM11
Information Architect - Remote
Designs Intranet/Internet/Extranet architectures and develops software implementations plans; administration activity.
B.A. or B.S. degree in related field
8
120
90
SDIM12
Delivery Manager
Plans & manages remote tasks and deliverables ensuring risk management and adherence to schedules
B.A. or B.S. degree in related field
12
133
100
SDIM13
Developer - Remote
Builds, tests & releases objects using the selected technology and development methodology following the schedule
B.A. or B.S. degree in related field
5
80
60
SDIM14
Lead Developer - Remote
Builds, tests & releases objects using the selected technology and development methodology following the schedule. In addition she manages remote Developers' adherence to schedule
B.A. or B.S. degree in related field
7
110
80
SDIM15
Information Engineer - Remote
Builds objects based on Intranet/Internet/Extranet architecture and develops software objects based on the Infiormation Architecture released by program management
B.A. or B.S. degree in related field
5
110
80
SDIM16
QA Engineer - Remote
Quality tests developed objects using both automated & manual testing plan and methdology
B.A. or B.S. degree in related field
5
110
80
SDIM17
QA Lead - Remote
Builds & delivers on quality plan for timely delivery of project milestones
B.A. or B.S. degree in related field
12
120
90
4. Training
Sainapse® DQM operation and usage follow an intuitive process that is easy to comprehend & follow. Sainapse DQM user training is typically customized to address specific use case needs & designed to meet enterprises’ needs. It can be delivered both onsite & remotely.
Class Title
SKU #
Class Description
#of students
MSRP / List Price ($)
SLP Price
SDT0001
Sainapse® Virtual Remote Instuctor Led Training Per Day
One Day of Remote Training for 10 Students
10 Maximum
$13,333
$10,000
Sainapse® Onsite Instuctor Led Training Per Day
SDT0002
One Day of Onsite Training for 10 Students
10 Maximum
$13,333
$10,000