Data Consulting
Data should be central to everything you do. It provides the key unlocking true value through insight that puts you ahead.
ACS specialise in delivering expert business, technology and data solutions. Our data consulting services aim to provide you with the insight and management information you need to properly control your business, build competitive advantage, increase revenues and accelerate business growth. We achieve this for our clients through our ability to seamlessly integrate multiple data sources, channels and technologies to satisfy otherwise unmet performance needs.
Big Data & Analytics
We have solid experience in implementing global Big Data programmes, particularly within the Risk Management and Sales Support domains. Irrespective of where you are on your Big Data projects, a review with ACS could highlight hidden risks, issues, opportunities and cost savings.
As customers and business operations increasingly go digital, IT departments need the flexibility to support their needs and wants. That’s where Big Data solutions can help. We recognise that there is a paradigm of choice especially when choosing between new or existing software vendors. We can help guide you through what’s on offer and how different technologies can compliment your existing operations. We can deliver end-to-end services from concept through to offshore platform’s as a service (Paas). We have a track record in helping some of the largest firms in the world with their Big Data strategies and implementations.
For more information about how we can help you please contact us
Steve Miles
Partner
Technology and Big Data
Specialist Solutions
We support the discovery, design, testing and implementation of data solutions, however standard or specialist.
Our alliances with established and bleeding edge technical solutions, along with our expertise and knowledge of how to apply these to the business all draw out the ‘art of the possible’ for your data enabled project.
These can include:
- Customer Insight
- Market and product Insight
- Sales optimisation
- Conduct Risk
- Operation Surveillance
- Social Media Analytics
- eDiscovery
- Process Automation
- Cloud Deployment
- CRM
By moving your technology to a connected modern level of sophistication, you should see huge value being generated that include greater available data insights, increased data usability, lower costs to store data (per terabyte), lower human interaction as systems auto-process, agile scalability as you want to increase your data storage, the breakdown of data-silo’s, and greater system oversight and control
For more information about how we can help you please contact us
Steve Miles
Partner
Technology and Big Data
Big Data Quality Control
Many Big Data implementations require firms to work with a host of software and technology providers. This can cause a paradigm of choice for your IT department, whilst also raising more wider questions:
- How future proof is this technology?
- How secure is the overall solution?
- Is it compliant?
- Will it all integrate with my existing architecture?
- Will I need to hire & re-skill people?
- What unknown costs are there?
- Will it all work and give me the benefits of the investment?
All of these questions can be answered by ACS as a result of the relationships we have with our global partners. We can introduce you to existing customers to hear how they have benefited from our trusted advice and support.
“While Big Data technologies continued rapid maturation in 2013, enterprise practitioners still require significant help from professional services organisations to identify use cases, design and deploy systems, and integrate the technology and output into business processes and workflows.” – Wikibon (2014)
For more information about how we can help you please contact us
Steve Miles
Partner
Technology and Big Data
Data Quality
Data quality should sit at the heart of any architecture. There is little any manager in your business can do with great technology, hard working people but poor data.
As you look to gain knowledge from information, you will need to get your data assets ready and usable across all areas of data quality:
- Data Accuracy – Clear representation of an attribute or activity within defined parameters.
- Data Value – Proportionate Cost/ Benefit of supporting the ETL, storage and processing.
- Data Validity – Consistency that allows usage in-line with the rationale for its existence.
- Data Relationships – Clearly understood associations with other attributes in a defined process.
- Data Reliability – A stable and defined data lifecycle standards that restrict inaccuracies.
- Data Timeliness – Collected as quickly after an activity against a clear time stamp.
- Data Relevance – Used for specific and understood requirements.
- Data Completeness – Minimum NULL (blank) attributes against recorded attributes.
- Data Compliance – Rigour against internal and external market rules, regulations and policy.
- Data Availability – Accessibility within a secure environment when required.
Our dedicated team of data scientists can help harness the true value of your data.
For more information about how we can help you please contact us
Steve Miles
Partner
Technology and Big Data
Master Data Management
The flow of valuable data throughout an organisation results in it being relied upon in numerous business functions. Internal and external data feeds are quickly being merged and new data feeds are being deployed to support business processes and decisions. The value you derive from your data as an organisation will be driven by how well you can interconnect your business processes with just the right amount of data that passes a given level of data quality.
Typically back-office approaches such as Master Data Management (MDM) have been used to maintain a level of data quality but these approaches are now outdated.
With the advent of more unstructured and structured data being used in business processes and decisions, as well as the increased digitisation of data, Process Driven Master Data Management (PDMDM) has evolved to a level where organisations can take charge of their data quality end-to-end.
The results of deploying PDMDM across your business will lower risk of data-led errors (e.g. customer statements) whilst enabling your business to trust your data even more. ACS experts can help look at the interconnectivity of your data to increase its efficiency and control.
For more information about how we can help you please contact us
Steve Miles
Partner
Technology and Big Data
Recent Case Studies
Extensibility & Scalability of Data Warehousing
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End to End Data Warehouse Testing (FDSF)
The PRA initiated an industry-wide programme called FDSF…Read more
Delivery that counts
Our track record for end to end delivery speaks for itself. In our short history, we have delivered some of the most complex business and IT change across some of the worlds largest organisations. Our people are happy and so are our clients. If you would like to know more about a career in ACS please click here.