Data analytics
More than Business Intelligence and Visualisation data Analytics is a transformational business improvement enabler
A digital (data-driven) strategy can give your organisation a holistic view of your data which will unlock:
Cost reduction, efficiency and operational improvement
Manage enterprise risks and compliance mandates
Improve the customer experience and decision making
Fundamental business transformation and innovation

Perfekt helps organisations take the mystery out of big data and shows them how to leverage their data resources to produce better business outcomes. Our approach is based on the proposition that business success depends on what you actually do with your business information, not how much of it you control and collate.

In this information-driven age, leaders must take a holistic view of the extraordinary volume of data available – historic, current and predictive – so they can extract what they need and discover what they didn’t know they need.

With analytical and technical solutions deeply anchored in industry and functional knowledge, combined with a detailed understanding of our clients’ needs, our approaches demystify ‘big data’, tackle industry-specific challenges and cover a range of important business issues.

Perfekt’s analytics solutions enable complete and robust data driven business improvement through:
Robust Data Engineering — a visualisation-only approach usually under-delivers
Providing advanced data visualisation, including integration of existing chosen tools if applicable
Strong industry-specific subject matter expertise, drawing on a worldwide team
Support of a broad range of data sources, types and platforms including Hadoop, Spark, Oracle, SAP, SQL, SCADA and others
Streaming, Real-time and Batch processing and analytics
Creation of a data governance strategy including retention, data lineage, security, and compliance
Solutions that do not require programming — meaning rapid development and easy maintainability
Predictive, reactive, real time, batch and embedded analytics
Massively scalable solutions, in both analytic performance and data volume
Managing and Automating the Pipeline
Administration
Security
Lifecycle
Management
Data
Provenance
Dynamic Data
Pipeline
Monitoring
Automation
Administration
Security
Lifecycle
Management
Data
Provenance
Dynamic Data
Pipeline
Monitoring
Automation
Administration
Security
Lifecycle Management
Data Provenance
Dynamic Data Pipeline
Monitoring
Automation
Common use cases or examples seen today for data analytics include
Re-invent the data warehouse
Relieve strained data warehouse initiatives that have failed to scale through data bloat.
Robust data workbench
The big data store is the landing and processing zone for data from disparate sources, ready for discrete projects.
360° customer view
Blending of operational and transactional data to create an on-demand analytical customer view. Enhances customer-facing employees with key information.
Monetise Data
Enrich and de-sensitise data sets and deliver as a paid service.
Emerging Applications and Uses for data analytics:
Big Data Exploration
Build your Digital Supply Chain
Harnessing Machine and Sensor Data
Create an Asset Intelligence Network
Predictive Big Data Analytics
Real time/live access to data to support instantaneous decision making
Next Generation Applications
Internal big-data as a service
On-demand big data blending
Obtaining and blending sensor data, video data, other (public domain) data
Getting Started With Analytics
Analytics is something that is built, not bought. Here’s how:
1
Business Value Realisation and Business Case Justification – Understand what business problems can be solved with data, refine the problem definition, and quantify the benefit.
2
PoC – Start with a Proof of Concept. Prove the value using a “thin slice” of data.
3
Prototype – an off-line solution based on a wider range of historical data. Enhanced functionality including visualisation of business outcomes.
4
Pilot – Full featured, on-line solution based on current and historical data; fully functional real-time data access, with training of analytics algorithms.
5
Production – A managed production solution, provided as a service to the business.
Tools and Technologies
Perfekt can provide solutions around, and are skilled in the following solutions, amongst many others:
Data Analytics Solution Deployment Models
Public Cloud (Azure, AWS, Google)
On-premise
Hybrid
Local
Geographically dispersed
Public Cloud (Azure, AWS, Google)
On-premise
Hybrid
Local
Geographically dispersed
Are you Organisationally Ready for Data Analytics?
Digital Resistor
  • Traditional user of IT Systems and Processes
  • No analytics in scope
  • Lack internal skills to digitally transform
Digital Explorer
  • Basic understanding, but still scoping
  • Understanding that more is needed
  • Unsure of business value of data
Digital Player
  • Have plans but still somewhat resisting wholesale information remediation
  • Longer term outlook, starting slow
Digital Transformer
  • Using data to influence transformation of organisation
  • Use external and internal data and social media to influence organisational effectiveness
Digital Disruptor
  • Willing to harness the power of data & use it for business transformation
  • Take advantage of untapped revenue streams influence organisational effectiveness
Digital
Resistor
  • Traditional user of IT Systems and Processes
  • No analytics in scope
  • Lack internal skills to digitally transform
Digital
Explorer
  • Basic understanding, but still scoping
  • Understanding that more is needed
  • Unsure of business value of data
Digital
Player
  • Have plans but still somewhat resisting wholesale information remediation
  • Longer term outlook, starting slow
Digital
Transformer
  • Using data to influence transformation of organisation
  • Use external and internal data and social media to influence organisational effectiveness
Digital
Disruptor
  • Willing to harness the power of data & use it for business transformation
  • Take advantage of untapped revenue streams influence organisational effectiveness
Digital
Resistor
  • Traditional user of IT Systems and Processes
  • No analytics in scope
  • Lack internal skills to digitally transform

Just like deploying any significant enterprise initiative, data analytics requires the right approach, underpinned by a solid and proven methodology. Perfekt will help you drive your data-driven business improvement through being part of your journey.

Where are you on the journey to being a Digital Disruptor?

Perfekt have found that, most often, only one third of organisations have the maturity, technologies, skills and approach to successfully undertake analytics projects themselves. Our solutions are provided through a blended approach of your own initiatives working tightly with our specialists along the journey to your digital future.

Varied levels of maturity are evident within organisations; and this maturity reflects on the complexity of projects they are able to undertake. Perfekt recognise that outside help by our specialist consultants is a key ingredient. We assist with people, process and the organisational preparedness necessary for project success; whilst ensuring there is a C-level understanding. We help to think with an entrepreneurial spirit and technical/data literacy; underpinned with cultural change – being organisationally innovative with data.

One of the most satisfying outcomes of a data analytics project is to tighten the relationship and fostering stronger partnerships between the business an IT; working together for overall business improvement.

Apache, Hadoop, Falcon, Atlas, Tez, Sqoop, Flume, Kafka, Pig, Hive, HBase, Accumulo, Storm, Solr, Spark, Ranger, Knox, Ambari, ZooKeeper, Oozie, Phoenix, NiFi, HAWQ, Zeppelin, Atlas, Slider, Mahout, MapReduce, HDFS, YARN, Metron and the Hadoop elephant and Apache project logos are either registered trademarks or trademarks of the Apache Software Foundation in the United States or other countries.

Hortonworks is a registered trademark of Hortonworks, Inc.

Pentaho is a registered trademark of Hitachi Ltd.

Qlik is a registered trademark of QlikTech International AB.

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Need to make an informed decision? Contact a Perfekt specialist to get a free consultation.