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Let's talkOne of the biggest mistakes that modern managers make is to think that collecting and accumulating data is enough to achieve digital transformation. But what is the point of having data simply for the sake of accumulating?
To succeed today, they must be used to answer vital business questions that are adherent to customer strategies. AI analytics is a new approach that uses automation and artificial intelligence to empower a company through data.
In this special article, we invited Antonio Pádua, Director of Data & AI Sales at Stefanini Data & Analytics, to talk about the trio of solutions capable of bringing the power of data to your routine. Follow along.
How do Stefanini Data & Analytics solutions help companies achieve efficiency and productivity?
For some time now, companies from all sectors of the market have already realized the value of information for modern competitiveness. It’s such a prevalent fact that 91.7% of businesses say they’re increasing their investments in data technology.
However, many of these institutions fall into the trap of becoming digital hoarders: they have stuffed banks, but there is no connection between the stored records and their analysis for practical decisions on a daily basis.
“We have to understand that data is one thing and analytics is another,” says Antonio. The true power of information comes from a complete structure that treats it from the moment it enters the system, through the organization to its use.
It is with this in mind that Stefanini Data & Analytics has developed three solutions as pillars of AI analytics: LORE, DORA, and ALICE.AI. With a focus on different stages of the data journey and vision of the Analytics discipline, they create a complete and integrated environment that is constantly monitoring and presenting insights for quick decision-making.
If you want to learn more about each of these tools, see below.
How does LORE consolidate its database?
LORE is a platform for automating and structuring the entry of data into the system, both from internal sources and the insertion of internal information generated in the business routine.
“LORE solves a problem for the company, which is how to collect external data.” The expert also suggests the following scenario:
“Imagine a business in the retail market that needs to know how its competitors are doing for a next best offer strategy. In this case, it is possible to go to public data such as websites and applications and extract them in a structured way to enrich your base.”
One of the great advantages of the LORE platform is to deliver data as a service, treated and ready to use in company insights.
This is possible with its modular construction, which connects collection, quality handling, storage and report management.
How does DORA structure and deliver data with high efficiency?
DORA is a Data Management solution, a very high compression database with significant space gain for efficient information management.
Its focus is on optimizing the relationship between people and processes and stored data, simplifying access, visibility, and providing operational agility. Again, Antonio proposes an example of use:
“Imagine the amount of data I have stored that I never worked with because it was expensive to resignify it to my current base. DORA has this ability to bring previously inaccessible data into its production environment and integrate it with current processes such as CRM, legal, financial and others.”
With its high compression ratios, Dora further optimizes the need for storage space, reducing costs with servers or cloud services.
How does ALICE.AI deepen your business insights?
Once the data is retrieved, structured, and integrated by the previous solutions, it’s time to seek the insights for modern competitiveness. This is where the ALICE solution comes in. AI.
The platform is focused on AI analytics, that is, the use of artificial intelligence to segment, compare, and contextualize data in a business bank.
Its goal is to provide deep insights that have real applicability in market strategies, recognizing patterns and trends before competitors.
To this end, it has a simple and intuitive interface that seeks to answer questions based on internal and external indicators, returning with accessible and assertive reports: identification of opportunities, isolation of bottlenecks, scenario projections, etc.
As the expert explains, analytics insights need to be connected to your business strategies. You need to know what you need to receive the most appropriate answers.
The questions may involve practical business issues, such as production forecasts, customer relationships, etc.
Raising the right questions, ALICE. AI analyzes your database in all aspects: production capacity, costs, pricing, trends, among others to suggest the most relevant strategies in relation to your goal.
It’s a way to accelerate your business in every aspect. You reduce decision-making time, anticipate operational plans, and reduce unnecessary process costs. It is transforming data into business intelligence.
What are the differentials of Stefanini Data & Analytics solutions?
What sets Scala solutions apart from other options on the market is their understanding of what it means to use data in the digital age.
Having business intelligence is not just about having a lot of information. It is to have an automated and customized channel for treatment, structuring and practical use of it.
That’s why we have all three platforms in a complementation approach. Each one acts on a crucial pillar of digital transformation.
LORE optimizes and simplifies data collection by creating reliable flows of information from both internal and external sources, including:
- Solution focused on business objectives
- Payment only for the use of the data
- Abstracting from complexity, delivering out-of-the-box data
- Autonomy to use public data without internal projects
- In-depth knowledge of data disciplines
DORA structures and organizes this information in high-throughput and compact databases, streamlining and making it cheaper to treat, monitor and use processes, providing:
- High data compression ratios
- Fast query speed even at high volumes
- Broad integration compatibility (API, Web services, native SQL)
- Excellent performance and cost-effectiveness in cloud environments
- Validated solution and operating in large telecom companies
ALICE.AI uses already structured data to provide impactful insights, which speed up decision-making, generate business innovation, and reduce risks, bringing to the business:
- Knowledge trees
- Accelerated predictive and prescriptive models
- Alignment of model results with business strategies
- Prescriptive outcomes focused on identifying business actions
- Proposes actions according to the intensity of the client’s pain
- Ease of maintenance of the models
- Collaborative work with multiple models simultaneously
- Reusing hypotheses for other models
Going beyond the quality of our solutions, it is important to remember that we do not only deliver the tool, but also the service of implementing and using the solutions.
“In the case of ALICE. AI, for example, the client does not need to have a data team, we have our consultancy. Even if the client doesn’t even know the questions to ask to generate insights, we can apply our methodology to create the ideal environment to receive the best answers.”
In other words, our mission is to make business intelligence accessible to any business manager.
Which Stefanini Data & Analytics solution to start with?
The three Stefanini Data & Analytics solutions are designed to work as a single flow for data processing and AI analytics. But the way you invest and use the platforms can vary.
The keyword raised by Antonio is digital maturity. There is no point in trying to implement ALICE. AI, for example, if you don’t have a consolidated database in the company.
Therefore, it seeks a logical progression for implementation that goes through the three pillars: LORE for collection, DORA for architecture, and ALICE. AI for insights.
It is also worth remembering that platforms, although automated, need a personal organization and adequate processes to bring the expected returns.
That is why we offer consulting services with specialized methodologies in Business Intelligence and AI analytics.
In an ideal progression, you can reach the implementation of the trio of solutions in an integrated way and completely inserted in your routine, without disturbing current processes.
Investing in data technology is investing in the future
Investing in data technology is investing in the future. As Antônio concludes, “it is necessary to understand that an analytics strategy behind its success is fundamental”.
Those who have power over information today have a closer relationship with the public and can identify market trends faster.
Not only that, early access to change patterns allows you to make decisions with greater growth potential, taking into account all possible future scenarios.
For these reasons, investing in AI analytics is investing in consolidation. Learn more about LORE, DORA and ALICE.AI solutions now. Contact our consultants to schedule a demo.