Many companies invest in tools Big Data Analytics as one of the focuses of your strategic decisions.
But despite the growing investment in data technology, we still face challenges in converting data into real business strategies.
It is at this point that recurring problems arise, such as information silos, low confidence in indicators, and difficulty in transforming insights into action plans.
In this article, we will understand what Big Data Analytics is in practice, what the main management challenges are, and how to use this tool to set clear goals for your company.
Big Data Analytics in practice
Big Data Analytics is nothing more than process and analyze a large amount of data to gain strategic insights for a specific sector of an organization.
And despite being a very common investment among leaders, Big Data is not always used in the most strategic way, leading to great indecision on the part of management.
With this, we start to see some structural problems, such as:
- Dashboard without any action, meaning data and more data, but without an improvement plan.;
- Too much data, which can lead to getting stuck when setting goals or actions.;
- Lack of clarity from management, which can interfere with the team's overall performance.
Even though Big Data Analytics is a interesting strategy for measuring metrics The team's activities and productivity, the information must be collected strategically, which creates a great challenge for executive management.
The main challenges of Big Data Analytics in executive management
One of the main challenges of Big Data Analytics in executive management is precisely knowing use the generated data strategically, establishing decisions based on the information present in the analysis.
Sure, it might seem like an easy thing, after all, the goal of data analysis is precisely to generate insights for management to create goals and establish initiatives for the team.
However, we are increasingly realizing the challenges that Big Data Analytics offers.
Fragmentation and lack of governance
With the exponential number of data, much information become decentralized, with no connection between the goals and the data analyzed.
This becomes an even bigger problem when the data doesn't come from the same source, which can make the process of creating an action strategy based on the analyses even more difficult.
Sure, governance concepts, such as the DAMA-DMBOK, can assist in structuring the guidelines for data management.
Disconnect between data, insight, and decision
When data stops generating insights and decisions are not strategic, there is a big signal that Big Data analysis it is not being done correctly.
To summarize, Big Data Analytics information needs to generate inspiration for projects, actions, and new goals, as well as indicate possible risks that could compromise the outcome.
If this is not being fulfilled, then it will be necessary to technically rethink what will be done with this information.
Too many indicators and lack of focus
If there are too many KPIs, it most likely represents a lack of clarity for management. A problem that affects not only the goals, but also employee productivity.
The strategy here is to define a limited number of KPIs, only those that are extremely important for decision-making, such as conversion rate, cart abandonment rate, or even website retention, for example.
This way, not only can the manager read the data more easily, but employees also know exactly where they should focus.
How to Turn Big Data Analytics into an Advantage
Transforming Big Data Analytics into a competitive advantage requires more than technology. Value arises when data is organized, interpreted and converted into decisions aligned with the strategy, with consistent execution.
Without this, the analysis tends to generate information, but without any real impact on the business.
In general, it is necessary to structure the analysis in order to extract the best insights for strategies and goals.
Structure the value stream
The first step is to structure the data value flow, meaning to define priorities, responsible parties, consistency, and how the information will be stored.
Fragmented data generates inconsistent information, which produces insights poorly aligned with established goals. This can translate into poorly structured plans.
Also read: Process flowchart: how to use it to strengthen governance
Connect with strategy (OKR and BSC)
Next, It is necessary to connect these pieces of information to the strategies.
As demonstrated by Kaplan and Norton, the Strategic planning depends on the translation of objectives into measurable indicators.
“The Balanced Scorecard translates an organization's mission and strategy into a comprehensive set of performance indicators.”
Highlighting that indicators only generate value when directly connected to strategy. The OKRs approach, on the other hand, reinforces that goals only have impact if accompanied by metrics.
Define the indicators that matter
One of the most recurring challenges in Big Data Analytics initiatives is the excess of indicators.
The easy availability of data leads many organizations to monitor everything, losing focus of what truly impacts the business.
The differentiator lies in the ability to identify which indicators are, in fact, strategic and directly connected to organizational objectives. Therefore, always choose which data will be analyzed for each sector and project, setting aside those that don't make sense for the current situation.
Big Data Analytics Tools and Solutions: The Role of Technology
Big Data Analytics tools are essential for collecting, processing, and analyzing large volumes of data. However, their value lies not only in technological capability but in how they are integrated into strategy and management.
These technological layers can be structured into different solutions, taking three main approaches:
- Visualization and decision support: Business Intelligence tools organize data and facilitate quick analysis;
- Data Storage and Integration: Data lakes and data warehouses are responsible for consolidating large volumes of information;
- Advanced Analytics and AI Technologies like the use of artificial intelligence in Big Data Analytics can help identify patterns and generate predictions.
These tools, commonly called Big Data Analytics Software, form the technological foundation of data-driven initiatives.
However, the value lies not just in processing capability, but in how they are integrated into strategic management.
The true value of Big Data Analytics lies in execution
With that said, it's clear that the role of Big Data Analytics is no longer in collecting countless data and metrics, but in how they are used to execute strategies.
The time when corporations merely managed countless data points is long gone. Today, the concern is how that data can help in daily operations and team productivity.
To achieve this, tools that use Big Data Analytics have become essential to help define clear objectives for the operation.
Among them, project management tools and solutions to improve performance are practically indispensable to assist in the analysis of this data and to observe, holistically, everything that will be necessary to achieve the goals.
How Actio connects data, strategy, and execution
Actio's proposal is based on a different logic: to integrate all the necessary elements into a single environment. Transform data into structured management.
Instead of treating data as an isolated layer, the approach directly connects indicators, strategic objectives, initiatives, and monitoring routines, creating a continuous flow between analysis and action.
This means that data is no longer just informative, but actively guides real-time decisions, with clear visibility into the impact of each action on business results.
If your organization's challenge is transforming data into consistent decisions and execution aligned with strategy, the next step is to structure this model in an integrated way.
For this, the solution of Strategic Management of Actio can help understand how this data can be used to develop even better strategies for your project.
If you have any questions about how Actio can help your business, speak with one of our consultants.
