Knowledge management and business intelligence

Expert services in knowledge management of all sectors

Knowledge management takes you from data searching to data-driven decision-making

Often, the mere monitoring of strategic indicators is considered knowledge management. Almost 75% of a company’s data remains unanalyzed, even though the tools and methods already exist. Why are we not using data as effectively as any other raw material we own?

Good knowledge management requires sharing high-quality, processed data with decision-makers in an understandable format. In turn, excellent knowledge management creates a real competitive advantage, increases staff self-direction and delivers cost savings. A winning organization often runs on reliable data that have been effectively used at all levels of the organization, both in monitoring and forecasting.

When you’re looking for a top business intelligence partner for your everyday data management, we at Pinja help ensure that the data you have is transformed into productive action in your organization, now and in the future.

See our knowledge management solutions

Why is knowledge management important?

Modern Business Intelligence tools and data warehouses allow large amounts of data to be cost-effectively combined, analyzed and visualized in a format that facilitates decision-making. Knowledge management enables the combination of data and human intelligence, leading to the development of services and even the innovation of entirely new services. Cloud-based Business Intelligence solutions bring cost savings by eliminating the need to invest in physical data centers.

With digitalization, data collection has become more efficient and the amount of data is growing exponentially. However, many companies are unable to make use of the huge amount of data – managing reporting with Excel or Power BI is no longer enough. Developing data warehousing can bring significant benefits and increase both the efficiency and competitiveness of a company. When high-quality data is available in the data warehouse, it can be used to build predictive models based on artificial intelligence and machine learning, for example.

Carefully organized knowledge management, combined with modern Business Intelligence tools, turns your organization into a data-driven, successful business. In addition, knowledge management enables the organization to better manage changes and helps it to act responsibly, for example by reducing waste.

Knowledge management – Why partner up with Pinja?

Over 80 knowledge management professionals at your service

All knowledge management services from one partner

A responsible partner recommended by clients, free from vendor traps

Find out more about the solutions

Data warehouse auditing

An audit of a data warehouse is particularly worthwhile when the current environment has slowed down to the point where it is hampering daily operations. Indications of the need for a technical audit may include slow loading of reports, lengthy data warehouse runtimes, a confusing structure, and therefore difficult maintenance.

A data warehouse audit includes:

Assessment of the current environment
Review of databases and reports
Documented recommendations for further action
The targeting is always agreed at the beginning of the project and lasts 2–3 days, depending on the need.

The aim is to identify the main factors that slow down everyday activities. The improvements take your organization’s knowledge management to the next level.

Defining reports and indicators

In the workshops, a feasible reporting package is created from the organization’s knowledge management needs in a business-oriented way.

The result of the definition phase:

identify and prioritize the most important reporting packages,
implementation of top-level descriptions of reporting sets and the phases of the solution,
visualization of the indicators that lead to action, and
a business intelligence roadmap is drawn up for the company.

The definition project includes a kick-off meeting, three remote workshops and a presentation of the final result. Price €4800 (VAT 0%).

Based on the definition, you can proceed directly to implementation yourself or with the help of a knowledge management partner.

POC – Data warehouse and reports

The most cost-effective and sustainable solution for data management is to create a data warehouse between systems and reporting. With a carefully scaled Proof of Concept (PoC) project, you can get the concept up and running quickly and cost-effectively, while testing it without risks. It takes a well-defined area and turns it into a functional set, ready for production use, which is then easy to expand piece by piece.

The PoC project proceeds as follows:

Choose a sub-area, e.g. finance, production, sales or HR
Define a standard number of reports to be produced per sub-area, for which data are available from 1–2 source systems
Automate the export of data required for reports to the data warehouse
Create Power BI reports

You’ll quickly have a documented reporting and data warehouse solution that can be expand to meet your needs.

Our knowledge management skills

Data warehouse

We design and implement open and well-documented data warehouse solutions using Microsoft technology for both Azure cloud and the client’s own SQL Server environment. The data warehouse automates the collection of data from all the necessary sources – providing a single view of the company’s data.

A quality data warehouse is the cornerstone of the whole knowledge management process, saving resources and costs. In our deployments, data quality control is automated as part of the data warehouse solution, so that you can operate your organization on the basis of up-to-date and reliable data. Even heavy calculations, such as customer and product level drill-downs for costing and delivery reliability, optimization of stock rotation and wastage, or legal processes based on the organizational hierarchy, can only be done with data warehouse automation.

In addition to reporting, the data warehouse solution can be used for integrations and migrations, for example in the context of ERP replacement. When it comes to taking knowledge management to the next level, the data warehouse can be seamlessly complemented with AI solutions.

Artificial intelligence and machine learning

The use of machine learning is a sensible extension of knowledge management, for example to improve the accuracy of forecasts, and achieve a significant competitive advantage. We help you identify potential applications for machine learning, and explore the potential of data for their implementation.

Machine learning can be used, for example, to predict demand, the number of visitors, customer/student attrition, losses or sickness rates.

The machine learning forecast can be reported alongside the actual forecast and any existing forecasts (such as manually entered and calculated forecast), and thus easily verify its improved accuracy. The machine learning model is integrated into data warehouse automation. The model typically learns from itself, and its predictive accuracy improves over time.

The incorporation of machine learning models is always an iterative process, and it is done in close cooperation with the client.

Success story: Fresh Servant Oy Ab

Developing of reporting

We specialize in scalable knowledge management services and act as a partner for knowledge management development and transformation needs.

We implement reports and metrics with the market-leading data management tool: Power BI. We have been using the tool since its first release, and know how to get the best out of it for business. At the heart of knowledge management solutions is the transfer of this knowledge to clients.

We also provide support and maintenance services, making a team of Business Intelligence professionals readily available through a single channel when you need.

Blog: User-centric reporting is an effective way to communicate

Training courses

We offer in-the-job training and longer training paths on desired knowledge management topics. Our comprehensive range of training courses is suitable for beginners as well as advances users of data warehouse or Power BI. Our training topics include
getting to know basic users’ tools, practical learning for the report author and the data processor and modeler, administrator trainings and technical training for IT professionals, for example on data warehouses

With Pinja’s expert guidance, you receive support for developing your personal skills and that of your organization, when knowledge management is a focus for development. The training can be delivered flexibly as a webinar, workshop or on-site at an agreed time. We also provide training through various networks.

Check out our training offerings