Intechiq

Data Management and Data Validation Blog

Part 1: Solving the AI puzzle: The importance of data quality

I’ve been working in the field of artificial intelligence for about 40 years now, and for most of that time, ‘AI’ was seen as something of an esoteric pursuit to which no-one really paid much attention.

But everything changed almost exactly a year ago to the day when OpenAI released ChatGPT, which captured people’s imaginations across the world.

Read More »

Part 2: Artificial Intelligence Fundamentals: Get Your Data Quality Sorted First!

There’s a presumption that artificial intelligence means that computer programs are intelligent in their own right. This is simply not true.

AI only acts on information that it’s been given. This means there’s no real ‘intelligence’ in AI at all. Rather, AI learns from data and uses that to make predictions.

Because it does not have intelligence of its own, there are some clear examples where AI gets things wrong.

Read More »
From the Office to the Cloud

From the Office to the Cloud

– A tale of transition and transformation

A recent customer success story illustrates the benefits of moving to IQ Cloud, Intech Solutions’ hosted web service for handling large volumes of address validation and geocoding processes.

Companies of all sizes and complexity, both in Australia and internationally, are either getting on board with digital transformation or risking being left behind in an increasingly cloud-focused world.
Intech Solutions delivered such a transformation for one notable client of ours in 2023, who provided some helpful feedback for other organisations considering this move.

Read More »

The Tiger in the Forest

There’s a well-known saying: “Can’t see the forest for the trees”, the meaning of which is easily understood. That is, if you focus too much on the small details, you won’t see the big picture. It’s a helpful maxim for life and business.
But what if you find yourself in a situation where the tiny details are incredibly important? What if you find your business has become the victim of fraudulent activity?
The nature of fraud is that it is all about deception – hiding wrongdoing in the details of business communications and transactions by someone trying to make illicit financial gains.

Read More »
Anti Money Laundering

Anti-Money Laundering: Beating the Odds with Graph Databases

The thorny issue of money laundering hit the headlines again recently with an announcement from Austrac that it was set to bring court action against SkyCity Entertainment Group after the regulatory agency found “systemic failures” in the casino operator’s approach to anti-money laundering (AML).

Amongst an extensive list of allegations, one key point stood out. Austrac said SkyCity “did not have a transaction monitoring program to monitor transactions and identify suspicious activity that was appropriately risk-based or appropriate to the nature, size, and complexity of SkyCity.”

Read More »
Anti Money Laundering with Graph Database

Digging in the Dirt – Spotting Money Laundering with Graph Databases

In 2020, Australia’s financial crime watchdog AUSTRAC hit the Westpac bank with the biggest penalty in Australia’s corporate history – $1.3 billion – for failing to spot and stop more than 23 million instances of money laundering.

It seems like it would be hard to miss 23 million occurrences of anything – but therein lies the challenge for spotting money laundering in today’s global digital economy.

So, how big is the problem, and what can be done about it?

Read More »
Address Validation

Address Validation: Understanding Location Intelligence

Having looked at why using an Address Validation service for your customer database is vitally important for effective business in our last blog post, this month we take a deeper, more technical dive into Intech’s solution to help you understand how it all works together to deliver the service known as location intelligence, and the benefits of the solution.

Read More »
Single Entity View Single Customer View

Getting to ‘True’ with Single Customer View

Let me introduce you to Mr Peter Jones.
According to my customer database, he lives at 16 Cavendish Street in the Sydney suburb of Stanmore. However, I also have a record of a ‘P Jones’, who supposedly lives at 1/6 Cavendish Lane in the Sydney suburb of Enmore.
In my database, I also have a record of a ‘Pete F. Jones’ purchasing one of my company’s products, and another transaction, recorded several months later, where a ‘PF Jones’ orders the same item.
Who are these multiple mysterious ‘Mr Jones’ personages who are apparently residing in close vicinity to one another in the inner-city suburbs of Australia’s largest city, and purchasing similar products from my company?
Would it surprise you to learn that they are actually one and the same person?

Read More »
Graph Databases Benefit Supply Chains

Searching for solutions to supply chain disruption? Graph databases may be the answer.

As the global COVID-19 pandemic runs into its third year, you would be hard pressed to find a business or individual that has not been affected in some way by the disruption that the virus has caused to global supply chains.

Now, as the virus continues to evolve and whole countries once again find themselves having to tackle new outbreaks, it’s clear that global supply chains are going to feel the ongoing impacts for a long time yet. For businesses everywhere, finding ways to successfully navigate these unfamiliar seas will be the new normal. ‘Adapt or die’ will be the driving principle.

Read More »
Address Validation

Address Validation: Getting it Right

Address validation may seem an obvious pre-requisite for any business, but many keep it a low priority and end up suffering the consequences.

Without an effectively managed database, these organisations struggle to control data quality, and ultimately business performance – and it all begins with address validation.

Read More »

Conference: Public Sector AI & Data Showcase

Showcasing TigerGraph graph database. Hotel Realm, Canberra, Tuesday 7 December 2021.

While online fraud continues to become more sophisticated, so too does the technology to detect it.

Modern day fraudsters and money launderers operate predominantly in the digital world, and for this reason the TigerGraph Graph Database has been designed to provide the deep, ultra-quick analyses of large datasets that is needed for real time fraud detection.

In a world that is doing business online at increasing volumes and speeds, a system that can filter out fraud in real-time will build all the trust you’ll ever need to succeed.

Read More »
Managing Risk and Preventing Fraud with Graph Databases

Managing Risk and Preventing Fraud with Graph Databases

by Terry Goodman, Founder of Intech Solutions

While online fraud continues to become more sophisticated, so too does the technology to detect it.

Modern day fraudsters and money launderers operate predominantly in the digital world, and for this reason the TigerGraph Graph Database has been designed to provide the deep, ultra-quick analyses of large datasets that is needed for real time fraud detection.

In a world that is doing business online at increasing volumes and speeds, a system that can filter out fraud in real-time will build all the trust you’ll ever need to succeed.

Read More »
CDAO (Chief Data & Analytics Officer) New Zealand conference.

Event: Join us at the CDAO (Chief Data & Analytics Officer) New Zealand conference. Now online on 16th & 17th November 2021

Now in its fifth year, CDAO ((Chief Data & Analytics Officer) NZ brings together New Zealand’s largest gathering of Senior Level Data and Analytics Executives to explore what 2022 will have in store.

This year the conference is being held online on 16th & 17th November. Terry Goodman, Intech Founder, will be participating on “The Future of Data and Analytics post-Covid” panel.

Key themes for this year include awakening data investment, managing data risk through strong governance, data accuracy and sustaining and scaling data success.

Read More »
TigerGraph Graph Database Chosen By Australian Tax Office

Australian Taxation Office becomes a TigerGraph customer

TigerGraph, the only scalable graph database for the enterprise, and Intech Solutions, a leading provider of information quality solutions, recently announced a multi-year deal with the Australian Taxation Office (ATO).

A graph database and graph analytics, provided by TigerGraph and implemented by the ATO with support from Intech, will help the ATO detect intricate and multi-layered relationships between individuals and organizations, supporting the ATO’s efforts to reduce tax avoidance.

Read More »
Graph database analytics for investigations and fraud detection

Video: Graph database analytics for investigations, compliance and fraud detection

Terry Goodman, Managing Director of Intech Solutions, delivered a keynote address on Graph Database analytics at the 7th Annual Australian Government Data Summit – 2021.

Terry included an interesting case study describing the Australian Tax Office (ATO) adoption of the TigerGraph graph database, a modern graph solution winning global applause for its unrivalled speed and scalability. You can view Terry’s full presentation in this blog.

Read More »
Identity resolution with graph databases

Identity Resolution in Graph Data

Techniques for optimising data quality for identity resolution with graph databases

by Terry Goodman, Founder of Intech Solutions

A highly informative presentation that delves into modern techniques for optimising data quality for identity resolution with graph databases.

The content of the presentation includes:
* Introduction and definition
* Graph schema design(s) for identity resolution
* Transforming/parsing data to optimised schema design
* Enhancing data for identity resolution
* Identity resolution algorithms with graph.

The full presentation can be viewed in the attached article.

Read More »
TigerGraph Graph Database

Event: Connecting the dots with the TigerGraph graph database

Reflections on Graph Analytics at the 7th annual Australian Government Data Summit

by Terry Goodman, Founder of Intech Solutions

The data analytics business is all about connecting the dots of particular situations without having to experience them directly.

One of the best ways of achieving this is with extremely fast, highly scalable graph database/analytics platforms.

Gartner estimates that the application of graph processing and graph database management systems will grow at 100 percent annually through 2022, “to continuously accelerate data preparation and enable more complex and adaptive data science.”

Read More »

Part 1: Solving the AI puzzle: The importance of data quality

I’ve been working in the field of artificial intelligence for about 40 years now, and for most of that time, ‘AI’ was seen as something of an esoteric pursuit to which no-one really paid much attention.

But everything changed almost exactly a year ago to the day when OpenAI released ChatGPT, which captured people’s imaginations across the world.

Read More »

Part 2: Artificial Intelligence Fundamentals: Get Your Data Quality Sorted First!

There’s a presumption that artificial intelligence means that computer programs are intelligent in their own right. This is simply not true.

AI only acts on information that it’s been given. This means there’s no real ‘intelligence’ in AI at all. Rather, AI learns from data and uses that to make predictions.

Because it does not have intelligence of its own, there are some clear examples where AI gets things wrong.

Read More »
From the Office to the Cloud

From the Office to the Cloud

– A tale of transition and transformation

A recent customer success story illustrates the benefits of moving to IQ Cloud, Intech Solutions’ hosted web service for handling large volumes of address validation and geocoding processes.

Companies of all sizes and complexity, both in Australia and internationally, are either getting on board with digital transformation or risking being left behind in an increasingly cloud-focused world.
Intech Solutions delivered such a transformation for one notable client of ours in 2023, who provided some helpful feedback for other organisations considering this move.

Read More »

The Tiger in the Forest

There’s a well-known saying: “Can’t see the forest for the trees”, the meaning of which is easily understood. That is, if you focus too much on the small details, you won’t see the big picture. It’s a helpful maxim for life and business.
But what if you find yourself in a situation where the tiny details are incredibly important? What if you find your business has become the victim of fraudulent activity?
The nature of fraud is that it is all about deception – hiding wrongdoing in the details of business communications and transactions by someone trying to make illicit financial gains.

Read More »
Anti Money Laundering

Anti-Money Laundering: Beating the Odds with Graph Databases

The thorny issue of money laundering hit the headlines again recently with an announcement from Austrac that it was set to bring court action against SkyCity Entertainment Group after the regulatory agency found “systemic failures” in the casino operator’s approach to anti-money laundering (AML).

Amongst an extensive list of allegations, one key point stood out. Austrac said SkyCity “did not have a transaction monitoring program to monitor transactions and identify suspicious activity that was appropriately risk-based or appropriate to the nature, size, and complexity of SkyCity.”

Read More »
Anti Money Laundering with Graph Database

Digging in the Dirt – Spotting Money Laundering with Graph Databases

In 2020, Australia’s financial crime watchdog AUSTRAC hit the Westpac bank with the biggest penalty in Australia’s corporate history – $1.3 billion – for failing to spot and stop more than 23 million instances of money laundering.

It seems like it would be hard to miss 23 million occurrences of anything – but therein lies the challenge for spotting money laundering in today’s global digital economy.

So, how big is the problem, and what can be done about it?

Read More »
Single Entity View Single Customer View

Getting to ‘True’ with Single Customer View

Let me introduce you to Mr Peter Jones.
According to my customer database, he lives at 16 Cavendish Street in the Sydney suburb of Stanmore. However, I also have a record of a ‘P Jones’, who supposedly lives at 1/6 Cavendish Lane in the Sydney suburb of Enmore.
In my database, I also have a record of a ‘Pete F. Jones’ purchasing one of my company’s products, and another transaction, recorded several months later, where a ‘PF Jones’ orders the same item.
Who are these multiple mysterious ‘Mr Jones’ personages who are apparently residing in close vicinity to one another in the inner-city suburbs of Australia’s largest city, and purchasing similar products from my company?
Would it surprise you to learn that they are actually one and the same person?

Read More »
Graph Databases Benefit Supply Chains

Searching for solutions to supply chain disruption? Graph databases may be the answer.

As the global COVID-19 pandemic runs into its third year, you would be hard pressed to find a business or individual that has not been affected in some way by the disruption that the virus has caused to global supply chains.

Now, as the virus continues to evolve and whole countries once again find themselves having to tackle new outbreaks, it’s clear that global supply chains are going to feel the ongoing impacts for a long time yet. For businesses everywhere, finding ways to successfully navigate these unfamiliar seas will be the new normal. ‘Adapt or die’ will be the driving principle.

Read More »

Conference: Public Sector AI & Data Showcase

Showcasing TigerGraph graph database. Hotel Realm, Canberra, Tuesday 7 December 2021.

While online fraud continues to become more sophisticated, so too does the technology to detect it.

Modern day fraudsters and money launderers operate predominantly in the digital world, and for this reason the TigerGraph Graph Database has been designed to provide the deep, ultra-quick analyses of large datasets that is needed for real time fraud detection.

In a world that is doing business online at increasing volumes and speeds, a system that can filter out fraud in real-time will build all the trust you’ll ever need to succeed.

Read More »
Managing Risk and Preventing Fraud with Graph Databases

Managing Risk and Preventing Fraud with Graph Databases

by Terry Goodman, Founder of Intech Solutions

While online fraud continues to become more sophisticated, so too does the technology to detect it.

Modern day fraudsters and money launderers operate predominantly in the digital world, and for this reason the TigerGraph Graph Database has been designed to provide the deep, ultra-quick analyses of large datasets that is needed for real time fraud detection.

In a world that is doing business online at increasing volumes and speeds, a system that can filter out fraud in real-time will build all the trust you’ll ever need to succeed.

Read More »
TigerGraph Graph Database Chosen By Australian Tax Office

Australian Taxation Office becomes a TigerGraph customer

TigerGraph, the only scalable graph database for the enterprise, and Intech Solutions, a leading provider of information quality solutions, recently announced a multi-year deal with the Australian Taxation Office (ATO).

A graph database and graph analytics, provided by TigerGraph and implemented by the ATO with support from Intech, will help the ATO detect intricate and multi-layered relationships between individuals and organizations, supporting the ATO’s efforts to reduce tax avoidance.

Read More »
Graph database analytics for investigations and fraud detection

Video: Graph database analytics for investigations, compliance and fraud detection

Terry Goodman, Managing Director of Intech Solutions, delivered a keynote address on Graph Database analytics at the 7th Annual Australian Government Data Summit – 2021.

Terry included an interesting case study describing the Australian Tax Office (ATO) adoption of the TigerGraph graph database, a modern graph solution winning global applause for its unrivalled speed and scalability. You can view Terry’s full presentation in this blog.

Read More »
Identity resolution with graph databases

Identity Resolution in Graph Data

Techniques for optimising data quality for identity resolution with graph databases

by Terry Goodman, Founder of Intech Solutions

A highly informative presentation that delves into modern techniques for optimising data quality for identity resolution with graph databases.

The content of the presentation includes:
* Introduction and definition
* Graph schema design(s) for identity resolution
* Transforming/parsing data to optimised schema design
* Enhancing data for identity resolution
* Identity resolution algorithms with graph.

The full presentation can be viewed in the attached article.

Read More »
TigerGraph Graph Database

Event: Connecting the dots with the TigerGraph graph database

Reflections on Graph Analytics at the 7th annual Australian Government Data Summit

by Terry Goodman, Founder of Intech Solutions

The data analytics business is all about connecting the dots of particular situations without having to experience them directly.

One of the best ways of achieving this is with extremely fast, highly scalable graph database/analytics platforms.

Gartner estimates that the application of graph processing and graph database management systems will grow at 100 percent annually through 2022, “to continuously accelerate data preparation and enable more complex and adaptive data science.”

Read More »
CDAO (Chief Data & Analytics Officer) New Zealand conference.

Event: Join us at the CDAO (Chief Data & Analytics Officer) New Zealand conference. Now online on 16th & 17th November 2021

Now in its fifth year, CDAO ((Chief Data & Analytics Officer) NZ brings together New Zealand’s largest gathering of Senior Level Data and Analytics Executives to explore what 2022 will have in store.

This year the conference is being held online on 16th & 17th November. Terry Goodman, Intech Founder, will be participating on “The Future of Data and Analytics post-Covid” panel.

Key themes for this year include awakening data investment, managing data risk through strong governance, data accuracy and sustaining and scaling data success.

Read More »
Graph database analytics for investigations and fraud detection

Video: Graph database analytics for investigations, compliance and fraud detection

Terry Goodman, Managing Director of Intech Solutions, delivered a keynote address on Graph Database analytics at the 7th Annual Australian Government Data Summit – 2021.

Terry included an interesting case study describing the Australian Tax Office (ATO) adoption of the TigerGraph graph database, a modern graph solution winning global applause for its unrivalled speed and scalability. You can view Terry’s full presentation in this blog.

Read More »
Identity resolution with graph databases

Identity Resolution in Graph Data

Techniques for optimising data quality for identity resolution with graph databases

by Terry Goodman, Founder of Intech Solutions

A highly informative presentation that delves into modern techniques for optimising data quality for identity resolution with graph databases.

The content of the presentation includes:
* Introduction and definition
* Graph schema design(s) for identity resolution
* Transforming/parsing data to optimised schema design
* Enhancing data for identity resolution
* Identity resolution algorithms with graph.

The full presentation can be viewed in the attached article.

Read More »
TigerGraph Graph Database

Event: Connecting the dots with the TigerGraph graph database

Reflections on Graph Analytics at the 7th annual Australian Government Data Summit

by Terry Goodman, Founder of Intech Solutions

The data analytics business is all about connecting the dots of particular situations without having to experience them directly.

One of the best ways of achieving this is with extremely fast, highly scalable graph database/analytics platforms.

Gartner estimates that the application of graph processing and graph database management systems will grow at 100 percent annually through 2022, “to continuously accelerate data preparation and enable more complex and adaptive data science.”

Read More »
Identity resolution with graph databases

Identity Resolution in Graph Data

Techniques for optimising data quality for identity resolution with graph databases

by Terry Goodman, Founder of Intech Solutions

A highly informative presentation that delves into modern techniques for optimising data quality for identity resolution with graph databases.

The content of the presentation includes:
* Introduction and definition
* Graph schema design(s) for identity resolution
* Transforming/parsing data to optimised schema design
* Enhancing data for identity resolution
* Identity resolution algorithms with graph.

The full presentation can be viewed in the attached article.

Read More »
Information Request

Information Request