Alot of our clients use dual monitors. It’s great for comparing data and especially good when comparing rows and columns to visualisations in i2.

A few of our clients have reported that Analyst’s Notebook/iBase seemed to ‘hang’ and not respond when a user clicks on the ‘Find’ function, either through the Data Sources pane or through the right-click menu. This usually coincided with switching from dual screens to a single screen.

Analyst’s Notebook/iBase seems to assume there is another screen when there isn’t! It sometimes persists even when you go back to two screens.

There is a quick registry change to fix this. We recommend that you ask your IT to do the following tasks or back up your registry settings before attempting the below.

• Close iBase and Analyst’s Notebook

• Go to the start windows start menu and type “Regedit”. Say okay to any of the following screens until you are presented with the registry editor. You may need IT to give you access/to do this.

• Use the folder tree on the left to navigate to: Computer\HKEY_CURRENT_USER\Software\i2\iBase\8\

• Delete the folder DialogSettings

• Reopen Analyst’s Notebook and try again.

S-branch

We’ve been part of the i2 journey since 2006, either as trainers, technical consultants or marketers. Through these roles, we’ve worked with several police forces both in the UK and abroad, charities, insurance firms, law firms, government agencies, and commercial clients.

If you’re an i2 user and require technical expertise, please feel free to contact us

Who are the MIBI?

The Motor Insurer’s Bureau of Ireland (MIBI) protect victims of road traffic accidents caused by uninsured or unidentified vehicles, in the Republic of Ireland and within the Green Card System of countries including the UK.

The MIBI is an interesting i2 use case for many reasons. In some ways, there is an element of fraud in almost all of their cases. If someone is hit by an uninsured driver, then someone in that story is defrauding someone or even worse committing a crime in some way.

A lot of the time the MIBI only gets one side of the story, this means they rely on their skilled fraud team and i2 deployment to assist them with their investigations.

Suspicious Cases

The MIBI offers a vital service to victims of accidents involving uninsured vehicles. They are also unfortunately the target of fraud.

Remember, there is an element of fraud to all MIBI cases really. So, the MIBI likes to refer to these cases as suspicious cases. Again, the MIBI relies on its skilled team and i2 deployment to help identify these suspicious cases.

It seems the MIBI is good at this, as a number of their suspicions have ultimately led to cases being withdrawn or dismissed in court.

Why i2?

The lead driver behind the i2 deployment is Fraud Manager, Ken McKinlay. Ken has been working with i2 since 2011. He’d been introduced to i2 by the Gardai in a previous role, where he was working on a ring of fraudulent cases. Before i2 he was using flip charts to capture data which was obviously time-consuming.

Ken had some very clear requirements for the system:

• Needed to get up to speed quickly
• It needed to visualise both policy and claim data together as there will definitely be hidden connections there
• The system needed to be pro-active and let the analyst know when an item of interest came up

The MIBI i2 deployment

The MIBI i2 deployment relies on automated feeds from 2 main source systems: An internal case management system called PRESTO and InsuranceLink. InsuranceLink is an external source that insurers use to check the claims history for claimants. The IFB in the UK has something similar.

Automated feeds into i2 are nothing new. Why the MIBI i2 deployment is so special is their use of the i2 suite. The MIBI have really utilised every tool and feature available to them. In some cases, S-branch even developed enhancements so they could utilise the products further

Alerting

The MIBI have around 100 + alerts in their system. This emails them everyday with a list of claims that require looking at. These alerts evolve with the system and are created by the MIBI fraud team

Geospatial Analysis

The i2 deployment is integrated with the MIBI’s GIS mapping solution Esri. This allows the MIBI to Identify hotspots in their iBase data, easily create alerts from repetitive areas of claims or accidents and overlay routes of uninsured Irish cars involved in accidents so that they can be more easily visualised on the maps.

Queries

Queries are a standard feature of i2 iBase, MIBI has really embraced them. Previously queries were being made of the MIBI’s data using tools like crystal reports; making the task far more complex. The ability of the team to ask complex questions easily, ensures the i2 system is fluid and moves with the MIBI’s needs.

Weeding

In order to comply with GRPR deleting or weeding data from i2 in an automated fashion was a necessity. Although i2 iBase didn’t do this out of the box, S-branch assisted in automating this process saving valuable time and preventing mistakes.

Smart Matching

S-branch also implemented some enhanced matching functionality to identify potentially matching claims. Again, i2 iBase didn’t do this out of the box but S-branch assisted in automating this process.

Searching

The MIBI makes use of all the searching tools available in i2. While this is standard usage the team feedback that searching their data has never been easier

Visualisation

i2’s strong point has always been visualisation. The ability to query a particular policy or claim and see all related information instantly in an easy to understand format is invaluable. i2’s ability to draw attention to potentially unseen connections has also proved useful.

The Outcome

Ken uses the word ‘enjoyed’ when he talks about the i2 deployment. The initial deployment was made in around 11 days. Although the initial implementation didn’t include all the features mentioned above, it met the core requirements detailed by Ken.

The beauty of i2 is that the iBase database schema is completely tailored to their needs. MIBI made the decision to keep their schema simple to assist quick analysis. This decision was a good one and it has lead to the MIBI having a very clean, clear i2 deployment that evolves with their needs.

If any of the above could benefit your i2 deployment, you’re looking into i2 or you’re looking into data analysis tools in general; please feel free to contact us.

It’s no secret that i2® is a popular choice for visualising and analysing data. That’s why in 2011 IBM paid a rumoured $500 million to acquire the small British software company. Its flagship product: Analyst’s Notebook has now become the standard for charting data and is used in nearly all of the UK police forces. If you have a sporadic flow of data in formats that vary greatly, IBM i2 is still one of the most compelling tools on the market.

IBM i2® products have always worked well with structured data. This has given its users the ability to ‘bring to life’ data hidden in columns and rows. There are many other places that data can hide though and one of those places is in unstructured text.

Unstructured Data

Unstructured text can pose a challenge to analyse and understand, and we keep generating more of it every day. This text can be anywhere from documents, emails or social media posts. In March 2018 we wrote a blog detailing how data hidden in unstructured text can be utilised. It focussed on the use of Natural Language Processing and particularly Entity Extraction. You can read it here. That blog post concentrated on what could be done using freely available tools.

At the time we stated that there are many commercial offerings that offer that functionality but in a much slicker and easy to access interface. One of those tools is Rosoka Text Analytics. Rosoka is an industry leader of text analytics solutions. Their enterprise solution Rosoka Server is great for large scale analysis of unstructured data. This blog is about their standalone solution which is a plug-in for i2.

So, why is it a ‘no-brainer’?

Well, to start off with its fully integrated with IBM i2 Analyst’s Notebook. It’s a plug-in that has been created in close collaboration with IBM and you can tell. We tested the plug-in against several datasets, including the case study we used in the previous blog post. This data can be found here.

Here are the reasons why we think it’s a ‘no-brainer’ plug-in:

• It extracts entities and links from unstructured files such as PDF’s, Word documents and txt files. It then allows users to generate Analyst’s Notebook charts based on the content
• Processing time is quick compared to reading the documents manually and quicker than the free extraction engines used in our previous blog
• During testing we found the entity extraction to be very accurate. What was more impressive was the relationship extraction. In our previous blog we inferred links based on how many times two entities are mentioned in the same document. What Rosoka do is far more sophisticated and is based on the language around the two entities
• Entity extraction is good but it can create a lot of noise. Rosoka’ s use of Salience (relevance) means we could always find the most relevant extracted entities and ignore the others
• Rosoka applies entity resolution to its extraction. This meant that if Theresa May is mentioned as ‘Theresa’, ‘Mrs May’ or even ‘She’ in a document, Rosoka will be able to resolve these different texts as one entity.
• It’s easy to reclassify an extracted entity from say a person to a company (for example Robert Dyas the UK hardware store). Rosoka can also learn from your decisions so it doesn’t make the same mistake again
• Rosoka is truly multilingual. We tested this by running several news articles about Islamic State through Rosoka in different languages. The organisation Islamic State was mentioned in both the Russian and the Arabic news articles. On the chart they were resolved into one entity, despite them originating from two different languages. That meant that when we expanded Islamic state we got linked items from both the Russian and the Arabic articles.
• The most surprising reason Rosoka is a no-brainer though is the price. For a fraction of the cost of IBM i2 Analyst’s Notebook the plug-in delivers accurate, multilingual, unstructured data analysis. We’ve looked at costs for this type of technology for clients before and often the requirements were dropped, due to budget restrictions; well not with Rosoka!

In conclusion, we believe Rosoka is a ‘no-brainer’ plug-in for i2 Analyst’s Notebook. The functionality, ease of use and price will just make any analysts life easier!

For more information on Rosoka visit their website or contact S-branch. If you’d like to find out more about unstructured data analysis, then feel free to call.

S-branch offers independent advice, meaning if Rosoka is not for you at this time, we can help you find the solution that is.

A lot of people won’t know what a forensic accountant is. I didn’t. It was only when I started working with a team of them at a prestigious accountancy firm that I really got to appreciate the importance of the role and the people that do it.

A forensic account is someone who applies accountancy skills to investigate financial discrepancies and inaccuracies. These investigations will be used to find fraudulent activity, financial misrepresentation or even misconduct.

There is one word I would use when describing forensic accountants and that is versatile

Who ya gonna call?

The truth is a forensic accountant could be useful to a lot of us.

If you run a business, for example, you may believe that there is some internal fraud going on – who ya gonna call? A forensic accountant. You may be about to buy a business and want to know more about its books – who ya gonna call? A forensic accountant.

On a personal level you and your siblings may have been left money or maybe you are going through a divorce and believe money is being hidden from you. That’s right, a forensic accountant can help with these things.

Business evaluations, tax audits, insurance term reviews, stolen paper records; there are a lot of situations where a forensic accountant can help.

Skills

There is one word I would use when describing forensic accountants and that is versatile. I’ve seen them successfully deal with sporadic and often unhelpful data to help a client. This is due to the diverse range of investigations they may conduct.

Applying technology to help clients make sense of sporadic and often unhelpful data is what S-branch does best.

Alongside obvious structured data sources such as companies house records, a forensic accountant may receive data in all manner of ways: boxes full of documents, ceased laptops or mobile phones, ancient financial records, interview videos and recordings to name but a few.

How S-branch can help

Applying technology to help clients make sense of sporadic and often unhelpful data is what S-branch does best. S-branch is truly independent and remains software agnostic, ensuring our clients get the best solution for their needs; whether they need forensic accounting software or just somewhere to store their intelligence.

Here are some of the ways S-branch can help forensic accountants.

Visualisation Software

Finding hidden connections between different data sources, whether that be financial transactions or social media, requires a good eye. This becomes especially important when you are trying to ‘follow the money’.

The use of visualisation analysis tools or graph visualisations to understand complex data is now common among analysts. Otherwise unseen connections between data can be identified and drilled down upon with ease. Visualisation tools also offer a clear way to present findings and share results.

Unstructured Data Analysis

Large amounts of text can pose a challenge to analyse and understand. We keep generating more of it every day. This ‘unstructured text’ can be in documents, emails or social media posts. Indexing this text can help when searching for keywords, but what if you don’t know the keywords? What if you don’t know where to start?

Unstructured data analysis software allows machines to ‘read’ unstructured text. This could give an understanding of what entities (for example people, organisations or locations) are present in the text. Some of these tools also extract relationships from the sentences and are even multi-lingual making the initial analysis of large amounts of documents quick and easy.

Visual/Audio Analysis

Manually documenting the content of video and audio files is a time-consuming process. Depending on what you are investigating it may also be an impossible task.

The use of cognitive technology to transcribe or even reference known items held within audio and video content can unlock the intelligence held within this kind of media.

Intelligence Data Stores

Having a secure and audited place to hold intelligence as part of a case is of real importance to a forensic accountant. A place where all details of an investigation can be quickly and accurately searched.

A lot of good data stores use the POLE model (People, Objects, Locations, and Events). By framing data in this way, relationships can easily be captured and explored. Intelligence stores will also hold relevant charts, visualisations or even referenced documents, ensuring everything of relevance is in one place.

Companies House Integration

Companies house is a great free resource where you can get access to company information, current and resigned officers or insolvency information.

Making regular queries of companies house through their website is easy, but taking that information and collaborating it with other data sources can be a manual task which is time-consuming. By integrating this resource alongside your intelligence data store it is easier and quicker to see the full picture.

Are you a forensic accountant? Are the technologies above of interest? Or are you struggling with some other form of data you’ve received? Either way, S-branch would love to help.

 

Who doesn’t love a good dashboard? What better way to gain a high-level understanding of your data than to see it come alive in bright colours before your eyes? They’re great for presentations but can also give valuable insights into where the peaks and troths in your data lie. From an analytical perspective, it can give you a starting point for your analysis; which with large datasets is very useful.

Dashboards need data. i2 users will store most of their data in iBase; which is very sensible. They do this because items can be quickly retrieved using the intuitive search tools, while the details and hidden connections are easily drilled down upon using i2 Analyst’s Notebook.

It is not always possible, or indeed sensible to place your entire iBase database onto an Analyst’s Notebook chart.

So i2 users have the data, they also have the ability to drill down into the detail. What they sometimes lack is the high-level statistics that a dashboard can provide.

Analyst’s Notebook – Bar Charts and Histograms

One way of doing this is to use the Bar Charts and Histograms functionality within Analyst’s Notebook. This functionality has proven itself very popular as it provides interactive statistical information. The only limitation to this functionality is: it only works with data that is on an Analyst’s Notebook Chart. Statistical information works best with lots of data and it is not always possible, or indeed sensible to place your entire iBase database onto an Analyst’s Notebook chart.

PowerBI

Power BI is a dashboard and reporting analytics tools that can connect to existing data sources and deliver insights that might otherwise have been missed. It allows its users to produce beautiful, interactive reports and then publish them for your organization to consume.

The example below shows national crime information. The data (although fake) is being held in an iBase database. The dashboard shows a location heat map (top left), number of crimes by type (top right), crimes by ward (bottom left) and crimes by date (bottom right).

PowerBI is interactive, meaning a user can drill down into a specific area of the data. In the example below a user has concentrated on pedal cycle crime.

From here the user can glean insights into this crime type. They can see the areas of the country that have the most pedal cycle crime. The time of the year which it most occurs (July to October) and which wards are most affected (Thames Valley Police and Cambridgeshire).

This can assist with strategic planning. If tasked with reducing pedal bike crime, a team could concentrate on university towns (Thames Valley and Cambridgeshire both hold large universities) between the date ranges of July to October.

What’s the catch?

In order to use iBase data with PowerBI you need a good understanding of your iBase security set-up and the underlying table structure; both of which S-branch can help you with. Regarding costs, the desktop version of PowerBI is free; yes free. This allows users to produce dashboards locally. Most organisations will choose a paid for package where they publish dashboards other colleagues within their organisation. To view a published dashboard all that is needed is a web browser.

For more information on PowerBI, visit the website here. For information on how to integrate it with your iBase implementation (new or old) please contact us