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Unstructured text and fuzzy matching

Word Embeddings for Fuzzy Matching of Organization Names
Interesting piece from Basis Technology
fraXses utilises Basis Technology’s Rosette for the management of unstructured data.  Rosette’s name matching is enhanced by word embeddings to match based on semantics as well as phonetics
Tracking mentions of particular organizations across news articles, social media, and internal communications are integral to the workflow of dozens of use-cases across […]

By |September 20th, 2017|Algorithms, Data, Pattern Recognition, Unstructured Data|

No thanks, we are too busy

Guest article by Willem Lambrechts of Drebbel Technology Brokers

As a financial technology broker, we have the privilege of operating in the heart of the financial technology eco-system. From this position, we observe a quite odd but stunning anomaly within financial institutions.

Every single day in the financial press we read about financial institutions investing vast amounts of money in emerging technologies […]

By |August 20th, 2017|Data, Financial Markets, Tools|

Assurance in real time

Real-time Audit

Real-time auditing will play an increasingly key role in the future. This involves federating data sources and using sophisticated computer programs that run continuously to identify exceptions or anomalies, analyse patterns within the digits of key numeric fields, review trends and test controls.

Currently, most organisational communication in the market is unassured.  That is, there is no auditor involvement when a […]

By |May 20th, 2017|Analytics, Compliance, Data, Fraud, Regulatory, Risk|

GDPR

Preparing for the EU General Data Protection Regulation
The EU General Data Protection Regulation (GDPR) came into force in May, 2016 and B2C businesses operating in the EU (and even post Brexit UK) have until May, 2018 to ensure their compliance to the requirements set out by this new customer data protection regulation. With fines as high as up to four percent […]

By |April 20th, 2017|Compliance, Data, GDPR, Regulatory|

Enhancing M&A data management

Once a target firm is bought, the most difficult job of the acquirer begins: to create the value that was expected from the deal through successful integration of the companies’ operations.  Whatever the acquirer’s strategy, combining two firms will often constitute a challenging task for management.  The acquirer must implement synergies to create value while simultaneously managing issue to avoid […]

By |March 20th, 2017|Data, Data federation, Data Ingestion|

Public Data Sources

Introduction.
I am often asked by clients where can they find public datasets for analysis and for inclusion in their own data analytics. This brief list of eleven key sources shows the range of data available via some key national and international organisations. Most of this data is freely available and updated regularly as new data becomes available.

Some of these datasets are […]

By |February 20th, 2017|Data|

Single source of the truth

Do you have multiple versions of the single version of the truth?
What if we didn’t have to search through all those varied, often-contradictory, deceptively complex, mixed-legacy source systems?  What if we could simply get to the authoritative version of the data and feed it back to our operational systems and analytics applications? What if we had a tool to automate all of this?While […]

By |November 20th, 2016|Analytics, Data, Federation, Virtualisation|

Becoming a data driven company

What is a data-driven company?
It is an organisation where every person who can use data to make better decisions, has access to the data they need, when they need it. It is about giving the business decision makers the power to explore data independently, even if they’re working with complex or disparate data sources.

Data driven companies relentlessly measure and monitor […]

By |October 20th, 2016|Data|

Insurance customer flow

Enhancing insurance revenue by enabling the management of all customer data in real-time.

Insurance companies continue to struggle in the face of economic challenges, competition for market share and from increased regulation.  This is compounded by the issues presented by customer and operational data stored in multiple locations and systems across their business, making it difficult to capitalise on this rich source […]

By |September 20th, 2016|Customer ARC, Data, Insurance, Retail, Social Media|