Leveraging your data to increase business value

Your data contains the history of what your business has done as well as knowledge of your clients, products, services, contracts, people, and risks. Some of this knowledge may be known and used, but the majority will not. Leveraging the value of your data can help you generate considerable business value.

Here are some well understood examples:

• Increasing revenues by identifying and maximising sales opportunities through cross selling and up-selling.
• Using insight to predict customer preferences and offer them better, personalised experience.
• Generating quality leads to grow your customer base, and focus on generating profitable customers.
• Grow expertise by enabling analysis and offering intelligent advice and support.
• Save time and money by automating routine processes and tasks.
• Increasing productivity and operational efficiencies.
• Making faster and more effective business decisions.
• Achieving cost savings, by optimising your business, your workforce or your products.

DataTick can help you…

• We will deliver a business case to demonstrate the potential value of your data. As part of this we will work with you to align the data to your KPIs through workshops and data modelling techniques.
• We have proven techniques for working with your business teams to identify how data can drive business value. We will bring case studies and ideas that generate new ideas and lead to creativity as well as the well proven and obvious.
• We can conduct a rapid analysis of your data sources and understanding of your current data infrastructure and capabilities enables us to assess your ability to deliver the value.

Creating a data strategy to support your business goals

We will deliver a data strategy that will help you define how you join up and optimise all the data activities in your organisation to maximise the value they can generate.

Typical questions that a bespoke data strategy for your organisation will answer include:

• How do we maximise the value we can extract from our data?
• How do we make our data teams more business focussed?
• How do we optimise the value of our data?
• Where should we start our data activities?
• What data activities are we missing and what should we do more of, or less of?
• Do we have the right skills and resources?
• Do we have the right tools and processes?
• What is the right amount to budget?

DataTick can help you…

• We will develop a data strategy that is relevant to your organisation. It will be focussed on business outcomes that can easily turned into an actionable roadmap.
• We can help you get buy in across your organisation to the data strategy and the change required to align your data activities to it. The data strategy will cover all elements of data engineering, business intelligence, data science, artificial intelligence and machine learning, architecture, resources and skills, data governance and data quality.
  

Leveraging data as an enabler for business transformation

Business transformation can be substantially more successful when data is a key element of the change. It is the perfect opportunity to fix your data because   transformation enables the changes to an organisation that are required to put data at the heart of your organisation.

DataTick can help you…

• We will define the right data enablers in your transformation programme to support the business value driven changes.
• We have significant experience of unblocking your data challenges enabling your business transformation to be more successful.
• We can help you use data to measure the impact of change.
  
• Ensuring that you have a data strategy outlining the data capabilities you need to support your transformation goals. 

Creating, fixing or optimising data teams

A ‘business focussed’ data function is critical to the successful exploitation of data in your organisation. Most organisations have one more data teams exhibiting the following symptoms:

• Too IT focussed
• Not keeping up with business demand
• Siloed operations
• Multiple teams competing with each other and producing conflicting demands and outputs
• Data Science teams that are not productive or not aligned to key business challenges

DataTick can help you…

Whether you are looking to create a new data team, fix an underperforming team or optimise the performance of an existing team DataTick can help.

• We will assess your data functions to establish if they are fit for purpose. Looking at agility, quality of output, quality of team, productivity, effective use of tools and techniques. Identify bottlenecks / weaknesses.
• We will work with your teams to make the changes required to make them business focussed, performant and motivated.
• You may not be able to justify a Chief Data Officer or someone of that level so we can help you by mentoring your data leaders to grow into that role or by providing ongoing CDO input on a part time basis.
  

Increasing trust in data at Exec level

Lack of trust on data at Exec level is common and is symptomatic of some key underlying issues. Symptoms include reports with numbers that don’t reconcile, or numbers that just doesn’t look right, numbers that are not timely.

DataTick can help you…

• We understand the root causes of these issues and can work with your data teams to fix them.
• We will help you achieve the goal of having certified data dashboards and reports, knowing that the data within is accurate, timely, and managed with consistent definitions.
  

Creating or optimising your data science capability

Data science can be invaluable to your business.  Creating models can give you powerful solutions such as the identification of your most valuable customers, identifying when they might churn, identifying regulatory risk, identifying unusual transactions, or detecting changes in buying behaviour. However, data science rarely lives up to its expectations.

Jan 2019: Gartner says 80% of analytics insights will not deliver business outcomes through 2022, and 80% of AI projects will “remain alchemy, run by wizards” through 2020.  Further, the turnover of data scientists is high because they spend too much time on engineering and because they don’t feel valued.  

DataTick can help you…

• We can help by designing and setting up a proper data science process that enables the data scientists to spend their time productively building data models.
• We can help ensure that the models are aligned to real business problems and priorities, and that the data scientists are more engaged in business outcomes.