Solutions / Data Quality
Firstlogic Data Quality Management Software
Firstlogic data quality software makes your data accurate, complete and consistent across every system that uses it. Profile and assess your data, cleanse and standardize it, find and consolidate duplicates, and enrich it, with rules you control.
It runs in your own environment, on-premise or in your private cloud, so your data never leaves your infrastructure.
What poor data quality costs
Bad data rarely fails loudly. It shows up as wasted effort, missed revenue and decisions made on numbers nobody fully trusts.
Returned mail and failed deliveries
Malformed and outdated addresses lead to undeliverable mail, missed shipments and lost postal discounts.
Duplicate customer records
The same customer stored several ways across systems means duplicate mailings, split histories and no single view of the customer.
Reporting you can’t rely on
Inconsistent formats and missing values skew analytics, forecasting and segmentation, and slow down every project that depends on them.
Compliance and risk exposure
Regulated industries need accurate, traceable customer data. Errors and duplicates make that harder to prove.
The dimensions of data quality
Data quality is measured across several dimensions. Here is how Firstlogic addresses each one.
- Accuracy
- Correct errors with cleansing rules, and verify addresses against official USPS and Canada Post data.
- Address verification
- Completeness
- Find what is missing with input-quality reports, then fill gaps by appending ZIP+4 codes, geocodes and census data.
- Data enrichment
- Consistency
- Standardize casing, abbreviations, acronyms, punctuation and formats so the same value looks the same in every system.
- Data cleansing
- Validity
- Check values against the patterns and business rules you define, and flag records that don’t conform.
- Data cleansing
- Uniqueness
- Find duplicates within and between data sources with fuzzy and rule-based matching, then consolidate them into a single best record.
- Data matching
- Timeliness
- Keep records current with scheduled cleansing jobs, monthly postal directory updates and NCOALink move updates.
- Mover updates
The data quality lifecycle
Firstlogic covers each stage of the data quality lifecycle. Use the stages you need, as one-off projects or as scheduled jobs.
- 1
Connect
Bring in data from multiple, disparate sources: files and database tables.
- 2
Assess
Measure the condition of your data before you change it. Data quality statistics and input-quality reports show completeness and problems in each source, so you can compare lists from different vendors or channels.
- 3
Parse and standardize
Identify the individual elements in each record, including data floating across free-form fields, and format them to consistent standards.
Learn more: Data cleansing
- 4
Correct and validate
Fix records that don’t meet your business rules, and verify addresses against official postal data.
Learn more: Data cleansing, Address verification
- 5
Match and consolidate
Build simple or complex match keys, find likely duplicates with weighted match scores, and merge them into a single best record. Predict a job’s outcome before you commit any changes.
Learn more: Data matching
- 6
Enrich
Append geocodes, census tracts, voting districts and other attributes, and update addresses for people who have moved.
Learn more: Data enrichment, Geocoding, Mover updates
- 7
Report and monitor
Every job can report what it found and what changed. Run jobs on a schedule and write statistics as XML or JSON to feed dashboards and automated quality checks.
Beyond names and addresses
Customer and address data is where Firstlogic is best known, but the same transforms work on any data you can describe with patterns and rules.
Define your own patterns and business rules for formats, abbreviations, casing, ordering and validation, and apply them to operational, product and financial data as well as customer records.
Parse, standardize and correct
- Names, titles and firms
- Email addresses
- Phone numbers
- Account numbers
- Dates
- Coded values
- Any user-defined pattern
Enforce data standards
Apply consistent standards across every database in your organization, not one system at a time.
Mergers and acquisitions
Standardize and deduplicate data from two organizations so it can be combined into one set of systems.
Evaluate incoming data
Score and compare lists from vendors, partners or channels before they reach your systems.
Batch, real time and embedded
Run Firstlogic as scheduled batch jobs, or embed it in your own applications with the Firstlogic SDKs for Java, .NET and C++. How a module runs depends on the job it does.
High-volume batch
Run every stage of the lifecycle as scheduled, multi-threaded batch jobs on your own servers, against files or database tables. Throughput follows the hardware you choose.
Real-time cleansing
Cleanse names, firms, phone numbers, email addresses, dates and addresses, and geocode, one record at a time inside your application. Send a record in and the cleaned version comes straight back, so you can validate data at the point of entry. Lightweight per-thread workers share one setup, so a single process can handle many requests at once.
Matching in your application
Matching compares records against each other, so it works on a group of records even when embedded: load a set, process it, and read back the matched groups. To check whether a new entry is a duplicate, match it as a small batch with likely candidates, such as existing records with the same postal code.
For addresses, AIQ Realtime Services also provides a REST API that you run in your own environment. See the AIQ Realtime Services docs and the SDK docs.
Runs where your data lives
Firstlogic software is self-managed. Install it on-premise or in the private cloud of your choice, from a single server to large data volumes.
Customer data, including PII, is processed entirely inside your own infrastructure.
An annual license covers the modules you choose. It is licensed per server, CPU or vCPU, with no limit on the records you process and no throttling, and we work with you to fit the license to your deployment. Pricing is by quote.
Certified accuracy for postal data
- USPS CASS
- Address IQ is CASS Cycle O certified by the USPS for address-matching accuracy.
- Canada Post SERP
- Certified by Canada Post for processing Canadian addresses.
- NCOALink
- Process move updates in-house as your own NCOALink service provider. Requires a non-exclusive NCOALink license from the USPS.
Data quality for your industry and use case
Frequently asked questions
What is data quality management software?
Does Firstlogic only work with name and address data?
Can Firstlogic profile and report on data quality?
Does Firstlogic process data in batch or in real time?
Where is my data processed?
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