The Knowledge Ladder
Transforming data into information, intelligence and knowledge to drive organisational impact and outcomes
This Week / Next Week ...
Finish moving into Gibney BPC and set up the equipment (desks, screens, laptops, video data wall)
Get the X: drives fully working on all laptops
Continue work on CCF dashboard - prioritise chasing down the locations of the various data sources and building early prototypes (GA, FB, PO'C)
Go through the Inspection LMI project and get it working locally on individual laptops to fully understand how it all works (GA, FB)
Canvas Dashboards (GA)
Move the Canvas Dashboards onto the X: drive
Re-organise into the standard folder structure
Keep unpackedFiles and dataFiles on external storage due to size
Develop a system of extending previous data rather than fully replacing at every download
Develop connections with Instructure and find out about CLI2
Stage 2 of the Inspection LMI Work (FB)
Read the requirements / specification / sample document
Create a template for our own document
Start moving the key aspects from the analysis into the document
Meet Kev Williams (Director of Performance and Planning)
Incorporate EMSI economy analysis for key districts into our document
Explore with Kev how we get curriculum delivery of soft skills and map the overlaps
Continue with 20% of time on academic activity (GA, FB)
Feedback on early thoughts on a personal research project that overlaps with either Lincoln or Commercial. Suggestions are -
Visualisation and telling a story with BI (FB)
Realise the Potential of Data to Drive Business Outcomes
The effective application of data science is proven to positively impact business outcomes but it is often the preserve of a few big companies in technology and digital sectors.
The Knowledge Ladder is committed to delivering affordable, accessible, agile data analytics and data science benefits to all firms regardless of sector, size, turnover or experience.
Data Dashboards and Visualisation
The data that firms already generate can be linked to external data sources to provide highly visual, real-time insights into the key metrics that impact business performance
Many aspects of business including customer behaviour, supply and demand can be shown on maps and dashboards to instantly visualise key aspects of business performance.
Machine Learning and Predictive Analytics
It sounds like science fiction but with the right expertise data from the past can be use to make reliable predictions about what your customers and other stakeholders are likely to do in the future and knowing what is likely to happen can put organisations ahead of the competition.
Focussed and intense 1-2 day leadership workshops can rapidly upskill and empower leaders and managers with the key concepts and skills needed to ensure their organisations get the most from their data
Our mission: to deliver affordable, accessible, agile data analytics and data science to all organisations regardless of sector, size, turnover or experience
A respected report from Wegener & Sinha showed that organisations that leverage data analytics are twice as likely to be in the top quartile of financial performers and another from McKinsey & Company showed that these "data mature" firms increase pre-tax profits by 20%.
But whilst there is a lot of evidence showing the positive impact data analytics and data science can have there are still many sectors and organisations who are not embracing the data revolution for many different reasons.
In fact only 20% of all employees said they felt confident working with data and half of all employees stated they tended to rely on gut-feel in decision making rather than evidence-driven insights.
The Knowledge Ladder strongly believes that barriers to adopting and leveraging data analytics and data science can and must be swept aside to enable equitable access to technologies and approaches that can make a real difference to organisational impact and outcomes.
The Potential of Big Data
4 billion video-hours are generated on YouTube every month, 400 million tweets are created every day, and 30 billion posts are shared on Facebook every month.
Companies make decisions every few seconds on whether to purchase Google AdWords campaigns during Champions League matches. By the end of the match that data has no further relevance or value.
YouTube Videos, Instagram Images, Facebook posts, Tweets, GPS co-ordinates generated by smart-phones and data generated by sensors inside turbine engines are all examples of variety.
Web site logs, smart phone records, and data captured from sensors and wearable devices will have high accuracy when compared to users keying data into traditional data processing systems.
Value refers to the ability to build or transform a business based on data and the opposite where firms that ignore big data can lose value relative to their competitors.
Are You Ready to Accelerate Your Business?
Data Analytics and Data Science are not just for high-tech, digital, global firms like Facebook, Amazon, Apple, Netflix and Google. This exciting new field can benefit many sectors and firms and projects can be delivered in an affordable, accessible and agile way.
Whether you are a small start-up or an established firm, a public, private or third sector organisation and regardless of whether you have leveraged data science before or are at the start of your journey, The Knowledge Ladder can help you to use data analytics and data science to deliver business impact and outcomes.
Click the button below to start your data analytics journey ...