Your data contains the history of what your business has done as well as providing knowledge of your clients, products, services, contracts, people, and risks. Some of this information may be commonly known and used within your business practices, but the majority will be unexplored potential. Leveraging the value of your data can help you generate considerable business value.
Here are some examples of how we’ve leveraged data and analytics:
We have proven techniques for optimizing business teams, including our business value workshops, to identify how data can drive business value. We will bring examples of case studies as well as new ideas that lead to creative approaches to well-proven techniques. Our rapid analysis of your data sources helps us to develop an understanding of your current data infrastructure and capabilities, enabling us to assess your ability to deliver value.
DataTick will develop a data and analytics strategy that is focused on business outcomes relevant to your organization that can easily be converted into an actionable roadmap. We can help you identify areas for improvement within your 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.
We will deliver a data and analytics strategy that will help you define how you combine and optimise all the data activities in your organisation to maximise the value they can generate. For a data and analytics strategy to be effective for an organization, it should include the answers to the following questions:
DataTick will define the data activities to support your business transformation programme to create valuable change. Our team members have significant experience in unblocking your data challenges, enabling your business transformation to be more successful by helping you to use data and analytics to measure the impact of change.
Lack of trust in data at an exec. level is common and can be symptomatic of some key underlying issues, including reports with numbers that don’t reconcile, numbers that just don’t look right, or information that is not timely.
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, with confidence that the data is accurate, timely, and managed with consistent definitions.
Whether you are a board member, senior executive, or data leader, coaching and mentoring can help bridge the gap in your confidence or knowledge in data and analytics. Our experienced coaches can help you in your roles by bridging the knowledge gap between data and analytics strategies and how they can be applied to your business.
Our coaching and mentoring program is beneficial for businesses that cannot justify onboarding a chief data officer. Instead, we can help you by mentoring your data leaders to grow into that role or by providing ongoing CDO input on an on-demand basis.
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 establish if your data functions are fit for purpose by assessing agility, quality of output, quality of the team, productivity, and effective use of tools and techniques. After identifying bottlenecks or weaknesses, we work with your teams to improve focus, performance, and motivation. We will establish processes to ensure the activities are efficient and that progress can be measured.
Data science can be invaluable to your business. Creating models can offer powerful insight and solutions, such as identifying your most valuable customers, suggesting when they might churn, highlighting regulatory risk, identifying unusual transactions, or detecting changes in buying behaviour. However, data science rarely lives up to its expectations.
In January of 2019, Gartner stated that 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 feel undervalued.
We can help by designing and establishing a proper data science process that enables the data scientists to spend their time productively building data models. We ensure that the models are aligned to real business problems and priorities and that the data scientists are more engaged in business outcomes.
DataTick helps businesses establish an integrated data-driven culture that seeks to optimise the return on your data by providing organisation strategies at the points data is collected, used and managed. The most successful organisations understand that this is not only the data team’s responsibility. We can inspire and help all areas of your organisation become more data driven.
If you need help understanding how to get the most value out of your data, get in touch with our experts by email or give us a call. We’re happy to help!