Data Science

Data Science

In data, we trust.

So we developed a next-gen approach to data, with a specific focus on data consulting, data marketing, and growth hacking—always finding new ways to turn your data into revenue.

Do you know how to analyze the data you have available? Do you know how to connect all the data to bring value and revenue to your business? We develop tailored solutions designed to understand your business needs and achieve your business goals.

Creating value through data is and will always be our goal. Inner Data, a Wise Pirate’s spin-off, will work with you to help you implement a data-first mindset throughout the company, while setting a joint strategic vision and a customized operations method. We want your data to be relevant, insightful, and most importantly, helpful: we want you to take the right decisions for the short and long term. After truly understanding your data, we will create predictive models training a data set, create forecasting algorithms and accelerate your business transformation.

Inners Data’s approach, which we believe to be the best, goes through different phases:

Business understanding: First of all, we deep dive into your business, trying to understand the goals and requirements from a business standpoint, converting this knowledge into a data mining problem definition, and designing a plan to achieve your goals.

Data Understanding: it all starts with data collection. We collect the data and play with it: by doing so, we get familiar with the data, identify data quality problems, discover first insights within this data, or detect interesting subsets to form hypotheses for hidden information.

Data Preparation: Now, it’s time to prepare for the journey. We assemble the final dataset from the initial raw data. Tasks include table, record, attribute selection, and transformation and cleaning of data for modeling tools.

Modeling: Various modeling techniques are selected and applied, and their parameters are calibrated to optimal values. Typically, there are several techniques for the same data mining problem type. Some techniques have specific requirements in the form of data. Therefore, stepping back to the data preparation phase is often necessary.

Evaluation: Thoroughly evaluate the model and review the steps executed to construct the model to ensure it properly achieves the business objectives. The key is to determine if some important business issue has not been sufficiently considered. At the end of this stage, a decision on using the data mining results should be reached.

Deployment: The acquired knowledge will now have to be organized and presented so that the customer can use it. However, depending on the requirements, the deployment phase can be as simple as generating a report or as complex as implementing a repeatable data mining process across the enterprise.

First-party data is also one of our focuses. Third-party cookies are starting to disappear. But it doesn’t have to be a drama. It gives us the opportunity of introducing a strategy of first-party data. While some rely on third-party cookies to collect customers’ data, we will guide you through the world of first-party data and help you gather the information about your customers inside your platforms.

ENGINEERING AND BI

DATA LAKE BUILDING

We help you build a centralized repository where you can store your data, both structured and unstructured, at any scale. You can simply run several types of analytics. Dashboards, real-time analytics, machine learning will be available just a click away.

DW / DATA MARTS STRUCTURE

Whether it’s only a department or a whole business, our team at Inner Data is prepared to help you collect data within the company to guide you through business decisions.

DATA INTEGRATION

We treasure-hunt the most important data for your business inside different platforms and aggregate them into a single dataset for more centralized and unified data.

CRAWLERS DEV

Website crawlers are an integral part of any major search engine used for indexing and discovering content. Many search engine companies have their bots; for instance, Googlebot is powered by the corporate giant Google. Apart from that, multiple types of crawling are utilized to cover specific needs, like video, image, or social media crawling.

ANALYTICS AND BI

DASHBOARDS STRUCTURE

Dashboards have become a standard business tool over the last decade. Dozens of dashboard building solutions have sprung up to meet the demand.

Data processing and reporting automation allows seeing the big picture and not spending marketing specialists’ time on a routine instead of providing them with a powerful tool for valuable insight discovery.

REPORT AUTOMATION

Reporting is a critical task in businesses to ensures that critical data is available. Report automation tools can automate data extraction and update, data visualization, report generation, and sending the report at a predefined schedule.

CLUSTERING AND SEGMENTATION

Clustering techniques are used to gather data/observations in a few segments so that data within any segment are similar while data across segments are different. By doing this, Inner Data can gather the most influential segments, build more exact audiences and push up our ROI.

COHORT ANALYSIS

Compare different groups of users at the same stage in their lifecycle and analyse the long-term relationship between the characteristics of a given user group.

FUNNEL ANALYSIS: CONVERSION,
ENGAGEMENT AND CHURN

Measure every step of your sales funnel, and know exactly where your gaps are so that you can optimize the most of it.

Artificial Intelligence

PREDICTION: DEMAND, CHURN, UPSELL

Customer journey data can be used to predict each customer’s likelihood of responding to a cross-sell or upsell offer. Input data can include the products and/or services commonly purchased and used alongside with one another.

RECOMMENDATION /
PERSONALISATION: BUY, OFFER, PRICE

Personalizing your customers’ buying journey by recommending products they find most relevant can help improve their shopping experience. Unfortunately, many businesses are unaware of this simple truth. Implementing product recommendations to their store is only an afterthought, that is, if they ever think of it.

OPTIMISATION: SALES HOURS, MARKETING CAMPAIGNS

Analyze audiences’ pain points, interaction patterns, and purchasing habits to target the right person in the right moment with the right promotion. Track marketing campaigns’ performance in real-time and optimize data usage to maximize performance.

OUR PARTNERS EXPERIENCE.

Our team has experience with over 500 brands in digital performance optimization, including industrial, health, and services companies, banks and finance, CPG & FMCG, and SMB that want to be ready for the digital challenges.