Managed Detection and Response Services - Key to Winning Today's Security Battles
Published: 4th March 2020 | By: Fran Howarth
Managed detection and response services provide access to advanced tech and skilled resources to ensure businesses can achieve their objectives.
Dimensional Analytics
Published: 28th January 2020 | By: Philip Howard
This paper explores “dimensional analytics”, by which we mean analytics that requires an understanding of the dimensions of time and space.
API integration, the right data at the right time - Unlocking valuable data with APIs
Published: 1st November 2019 | By: David Norfolk and David Terrar
This report spotlights the evolution of APIs from EDI to EAI to the API Economy. Companies can add value by opening up their data in a controlled, secure way.
Modern Data Quality Trends
Published: 29th January 2019 | By: Philip Howard
There are new challenges facing purveyors of data quality solutions, and in this paper we discuss these issues – both technical and socially oriented – and how they can be resolved.
The ongoing evolution of SIEM - the value of security insight
Published: 7th December 2018 | By: Fran Howarth
SIEM systems are entering a new era. Complementary technologies are creating visibility into networks that are required for actionable security insight.
Managing data lakes: building a business case
Published: 25th June 2018 | By: Philip Howard
This is a companion paper to one we published in 2017. We outline a methodology for building a business case in support of implementing suitable data lake management software.
Instrumenting the Virtualised Datacentre … for Performance SLA’s - On the path to a single view of infrastructure performance across the enterprise
Published: 6th February 2018 | By: David Norfolk and Paul Bevan
To deliver services reliably, companies need seamless access to application-centric performance metrics across their infrastructure, whether on-premises or in the cloud.
Data Lake Management
Published: 19th October 2017 | By: Philip Howard and Daniel Howard
What you need to think about when implementing a data lake.
Big data and the mainframe - issues and opportunities
Published: 9th August 2017 | By: Philip Howard
The purpose of this paper is to examine those issues, which arise when big data implementations transition beyond skunk works and into general-purpose use.
Governance for Spreadsheet Models
Published: 7th August 2017 | By: Philip Howard
While this paper focuses on spreadsheets the technology we are discussing is also appropriate for governing other EUC (end user computing) resources.