We deliver insights for your Marketing team through our platform and App:
The challenge is that online gaming has its difficulties: data is often distributed across several environments that create silos of data for business and operational needs. With multiple versions of the truth, the business’ ability to report across these silos is limited. It doesn’t have to be this way.
Discover the benefits of linking data from:
Once loaded, you can: profile and link data rapidly; decrease trend discovery and collection time; increase the time for iterating, interpreting and acting on analytical insights.
Download PDF: ICE 2015 Customer Analytics Brochure (1.4mb).
Daniel Fedak is a forward-thinking executive who’s not afraid to get his hands dirty with over 20 years in the digital media and analytics space. In the early 90’s, Daniel was the ‘webmaster’ or head of all things in the digital realm for Plansoft, which evolved into Starcite and then ActiveEvents, which is one of the most successful online marketplaces for meetings and events planners worldwide. In the late 90’s, Daniel then moved into architecting and leading the delivery of analytical solutions for companies such as Debenhams, Peekaboo Mobile Advertising, Marks & Spencer, Fortnum and Mason, BBC Worldwide, BHS, the National Apprenticeship Service, Kelkoo, Bet365, Carphone Warehouse, Bestway Group, and other major online pure-plays and mobile performance marketing companies.
Daniel holds a BSC, Honours in Communications from Ohio University in Athens, Ohio and lives in London with dual UK/US citizenship.
Francesco de Asmundis is a senior manager in the technology sector, with extensive experience in business planning, developing new markets and managing global sales channels. His career spans three decades: from early roles providing solutions to SMEs in the Southern European region, to working from UK-based software vendors expanding their footprint into the broader European and International markets.
Francesco has dedicated the last decade to providing data-centric solutions to Blue Chip clients like Belgacom, Santander and Carlson Wagonlit Travel as well as less-known organisations that make data analytics their business.
Francesco is an Italian national who has been based in London for over 15 years.
Jack Barnett is a senior executive with over 20 years of experience with high-growth companies in the technology sector. Beginning with Quick Response Services, one of the early successful software-as-a-service companies in the San Francisco Bay Area, Jack has spent much of his career developing and delivering innovative analytical solutions to data-driven companies such as BT, Bet365, BwinParty, TRA (TiVo), Sainsbury’s, Safeway, The GAP and AIMIA. With an emphasis on business intelligence, corporate reporting, customer insight & loyalty programs, Jack has a deep understanding of the significant opportunities and complex challenges of big data. Jack began his career in operational management at Costco and holds a BA in Political Science from the University of California, Berkeley. Jack resides in the UK and holds dual US/UK citizenship, and also serves as a non-executive director of several privately held companies.
“Give us your data, pay a monthly or quarterly fee and get access to business insight without the need to build and maintain a complex analytical platform”
We provide medium to large organisations the ability to run their BI/Analytics in a secure dedicated environment as a managed service. We offer certified, secure, dedicated private Cloud environment for your data analysis or can locate our infrastructure in the client’s Data Centre, for when data access and information security needs to follow very strict procedures.
Our track record of many successful implementations has made us the ideal partner for early-stage, high-impact BI and Analytics projects. We get involved in the whole lifecycle: from understanding the ultimate business goals, to translating them into usable and scalable solution that get adopted rapidly by a large user community.
We are working as trusted advisors to businesses on further use of Analytics and on how to monetise of their data assets.
While only a few organizations have real Big Data (100’s of terabyte to Petabyte of structured and unstructured data) many have data that is already large enough to represent a challenge.
Traditional Data Warehousing and Business Intelligence architectures were built for coping with a predictable and steady flow of structured data – and with predictable and repetitive business models.
If you cannot access the level of detailed information you need to make your business decision, or if you can’t access the data you need fast enough, we can help.