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BI travel guide - BI trends at a glance!

Which BI trends are important for companies today and which will be relevant in future?

BI travel guide – BI trends at a glance

As a result of digitisation and the growing pressure to always perform NOW, new trends and requirements are increasingly cropping up in the BI world. Potential users are swamped with options when researching suitable BI software.

It’s easy for decision-makers and users to lose track of things.

We take you on a journey into everything related to business intelligence in our attached BI travel guide. In this guide, we prioritise the most important BI topics for businesses today and in the future and present them clearly.

Our BI travel guide helps you navigate through the complex topic of BI and makes it easier to make business decisions within your company.

antares BI travel guide

BI travel guide agenda

We take you on a journey into everything BI-related in our BI travel guide and present the key BI trends. The guide serves as guidance and forms a solid information base to help drive forward your company’s decision-making processes. As you can see from the following agenda, we group key BI trends based on a strategic and operational level and list these by means of a process display. A journey that’s worth it!

BI travel guide agenda

BI trends in detail!

Reporting.
A requirement for effective company management.

Reporting is a key factor for success.

The rapid availability of relevant information is a modern requirement for effective company management. Employers react instantly to market opportunities and negative sales or cost developments to be successful in the long term. For this reason, adequate reporting plays an important role in competent company management.

Reporting tasks.

Reporting deals with the analysis of business development. To do this, controllers, among others, draw comparisons between actual and target values. They identify whether individual departments are meeting budget requirements or not. The aggregated and evaluated data of the standardised report enables managers to fulfil monitoring and management tasks.

Reporting is our strength.

With our software solutions, you can create individual reports tailored to your corporate design in no time at all and share them with the right contacts. We offer you a comprehensive reporting tool. We guarantee a secure decision-making basis for your corporate activity based on your individual requirements.

Big Data.
Large, digital sets of data.

Big Data stands for large digital data sets as well as their logging and evaluation. Big data is also a collective term for all of the associated digital technologies, architectures, methods and processes required.

Large volumes of data worldwide

Experts believe that digital data volumes will increase ten-fold worldwide by 2020 as a result of the internet, social networks and mobile devices.

Is it only about data volumes?

Big Data primarily defines data quantities that are too large or complex, or which change too quickly. They may also be too poorly structured to evaluate them using manual and traditional data processing methods.

The 5 basic Vs of Big Data

  • Volume
  • Validity
  • Value
  • Velocity
  • Variety
Cloud BI.
Software as a Service (SaaS) BI

Cloud BI makes analysis and reporting functions and their associated content available on the internet. Cloud BI applications are typically accessible via any browser and on any mobile device. Also known as “Software as a Service” (SaaS), cloud BI requires that all necessary components are made available and manageable independent of location.

Subject: Security

Cloud BI raises questions about data security and storage location for companies. Company-critical data must be securely transferred to the Cloud and effectively protected against unwanted access. For this reason, regulatory requirements exist regarding the secure storage of data within the EU.

Data Integration.
The link between data and knowledge.

What is Data Integration?

Data Integration is a process in which data from multiple databases is pooled for use in an application.

Simply put, data integration is a significant connection between data and knowledge. This helps companies ensure that their various databases are linked together.

Challenges of Data Integration

In practice, in-house applications are regularly developed to transfer data from different sources into a streamlined format. However, as soon as the quantity and diversity of data increases, the user becomes overwhelmed with the data management requirements. This then calls for complex coding and elaborate hardware investments.

We are up for this challenge.

Our software solutions work based on precise data conversion in order to create dashboards, visualisations and reports that accurately reflect your company information.

Optimal data integration frees you from manual analyses and forecasts. It reduces the likelihood of errors during data conversion.

Data Lake.
Data storage location.

What is a Data Lake?

A Data Lake is a central storage repository that holds Big Data in a raw, original format until it is required.

While hierarchically organised data warehouses place data in files or folders, in data lakes they are stored in a flat architecture.

The main differences

  • Data storage
  • Types of data
  • Users
  • Changes
Data Mining.
Analysis of data sets.

What is Data Mining?

Data Mining uses findings from the areas of computing, mathematics and statistics to analyse data sets in a computerised way. Analysts use artificial intelligence, among other things, to examine large data sets for new cross-connections, trends or patterns.

Data Mining tasks

The methods applied for data mining have specifically defined objectives and are arranged into individual tasks. These tasks can be broken down as follows:

  • Classification
  • Segmentation
  • Forecast
  • Dependency analysis
  • Deviation analysis
Data Modeling.
The data flow between data elements.

What is Data Modeling?

Data models show which data is used and which format is required for different business processes.

Data models simplify the communication business and technical development by accurately representing the IT system’s requirements.

Data components

A data model can be concrete or abstract. It includes the following main components:

  • Data type
  • Data element
  • Data source
  • Event source
  • Link
Data Monitoring
Monitoring of company performance.

What is Data Monitoring?

Data Monitoring is a standard business practice in which critical business data is routinely checked for quality requirements. The aim here is to ensure high data quality and maintain the specified standards.

Why use Data Monitoring?

Data Monitoring enables companies to proactively maintain a consistently high standard of data quality. By routinely checking the data stored, companies can avoid the need for lengthy data preparation.

We understand monitoring

Undertake active monitoring with our software solutions. Data anomalies, for which you define the parameters in advance, are detected via push notification and can be quickly retrieved and visualised using reporting.

Data Quality Management.
Asset-based view of data.

What is Data Quality Management?

Data Quality Management comprises all measures which enable the asset-based view of company data.

Significance of DQM

Data Quality illustrates the suitability of data to describe reality. It therefore answers the question of to what extent a model represents the actual situation. In particular, it outlines how reliable data is and how it can be used as the planning basis for corporate activities.

Decisions are made, market opportunities evaluated and negotiations conducted based on this data. A correlation between data quality and decision-making quality can be found here. Therefore, data quality is of major importance for decision-makers.

DQM is no problem for us!

Our software solutions allow data to be made available consistently, effectively and quickly. We achieve transparency via data and company processes so that reliable analyses can be carried out and well-founded decisions can be made as a result.

Data analysis.
Obtain information from data.

What does Data Analysis mean?

Data Analysis is often referred to in connection with statistical studies. In a general sense, Data Analysis means obtaining information from the data presented.

How does Data Analysis work?

Data is restructured, rearranged and presented using different techniques in order to present the findings as a way of solving problems. Data Analysis can therefore be classified as an own process or technique in the wider context of process improvement.

We are solution providers!

Our Analysis software antares analyzer is designed to improve business processes. Nowadays, businesses rely on data analysis software in order to highlight and better understand their business processes with the help of data-analytical actions. Only in this way can business risks be reduced and prevented from the outset.

Geo Location Intelligence.
Integration of spatial information.

What is Geo Location Intelligence?

Standard BI software solutions give simplified answers to the “who, what and how much”. However, the question of “where” is often not asked. As a result, an objective evaluation is only possible if all key influence factors and the spatial reference are taken into account.

How does Geo Location Intelligence work?

Geo Location Intelligence starts with the tracking of information on a geographical map, so-called geocoding.

Geo Location Intelligence with antares

We integrate Google Maps into our software so that a location-based analysis can be made using antares analyzer. Don’t trust random standard solutions to evaluate your data; instead, evaluate your data quickly and carefully to your precise specifications.

In terms of data enhancement, your location-based data is enriched with business-related, external data (such as purchasing power, product affinity and sociodemographic criteria).

Internal control system - ICS.
Documentation and monitoring of processes.

What is an Internal Control System?

The ICS is software-supported, internal process control along with the documentation and monitoring of corporate activity in data-driven companies. Malicious and negligent activity in companies is prevented using an effective internal control system.

Thanks to complete documentation of process controls and workflow-supported monitoring, an ICS ensures that your business processes run efficiently, transparently and safely.

ICS elements

The requirements that an ICS has to fulfil are described in various frameworks. The most popular among them is the “Internal Control Framework – COSO”. This framework represents the internationally recognised standard for company-wide risk management. This forms the basis for building a more comprehensive risk management system with an ICS system.

Searched – found!

Our software module antares RiMIS ICS complies with international standards and offers you an optimum Risk Management software solution.

Predictive Analytics.
What happens under which circumstance?

What is Predictive Analytics?

Predictive Analytics primarily deals with future and potential events. It answers the question of what will happen under any given circumstances. Data visualisation of the forecast results using accompanying software is usually carried out first. This is then interactively discussed, transferred and processed in teams.

Predictive Analytics gives competitive companies a huge advantage over the competition. It allows a better planning and decision-making basis from which to derive successful measures.

Challenges of Predictive Analytics

  • Is all of the available data being used?
  • What level of detail is considered in the analyses?
  • How does data need to be modified to be “ready for predictive”?
  • Which mathematical model suits the particular application?
  • How can you prove that the predictive analytics approach works in an evaluation?
Risk & Compliance Management.
Conscious risk management gives you the opportunity to secure your company’s existence in the long term.

A lack of (or poor) Risk Management is often the reason for corporate risks which lead to insolvency, loss of receivables or job cuts.

Risks don’t have to be dangerous. Conscious, controlled Risk Management is an opportunity to secure your company’s existence in the long term and even generate a competitive advantage.

What does compliance mean?

Compliance means “dutiful behaviour”. It serves to ensure the development, activities and documentation of an organisation in this compliant form.

In practice

Our aim is to identify and eliminate as many risks and loopholes in a company’s processes as possible in advance. Management systems (Risk vs. Compliance management) are often established as separate systems that are independent of one another, which can actually lead to additional expenditure and loss of information.

We, on the other hand, offer an integrated management system for governance, Risk and Compliance (GRC) management – antares RiMIS.

Integrated Risk Management system

With the help of our integrated Risk Management system antares RiMIS, non-compliance, claims and liability cases can be avoided using preventative measures. Furthermore, potentials can be tapped into to optimise competitiveness.

Self-service BI
Independent access to company data.

What is Self-Service BI?

Self-Service BI describes independent access to company data by key users. Prior to the introduction of Self-Service BI, analysts were forced to directly contact the IT department with any data queries. This created an additional workload for IT specialists and slowed down the work process.

Requirements of Self-Service BI systems

One option is to introduce specific user rights to limit access to company data to selected personnel only. It should also be ensured that data is processed uniformly, according to the company structure.

Our information systems!

Access to company data requires a suitable data warehouse, BI software and the use of reporting tools.

We are experts in this area!

For 25 years, we have been advising companies on data warehouses, have established and marketed BI software and have proven our know-how through sound knowledge and experience in a wide variety of assignments.

Our software solutions‘ user-friendly interface is easy to use to reduce workload. The online user guide and support system can also be used to give non-specialist users a better understanding. Our Self-Service BI systems are often used in controlling, financial departments, marketing and sales, and anywhere where the analysis of company data plays a significant role.

Working with us

1st phase: Familiarisation

We place high value on personal contact with our prospective clients and customers! This forms the basis for a trusting partnership. As a result of our flat hierarchical structure, your personal contact will be available right away to discuss your requirements.

We build up personal contact as part of a live presentation, web session or telephone conference. We’ll fit in around you. We will gladly present our company as well as the solutions and services we offer.

You are the focus of our meetings. We want to get to know you, your company and your requirements. We are open to any questions, comments or ideas. In this first phase, we support you in finding a solution in a free, non-binding consultation.

2nd phase: Analysis

What does your current situation look like and how will it be tomorrow?

What is achievable and where do your limits lie?

How are you performing and what benefits need to be created?

What target should be achieved by when, what results are you expecting?

What are your software solution requirements?

What is the initial situation, where are the stumbling blocks?

3rd phase: Strategy

By comparing actual and target values, we can derive direct measures to be taken and support you. We look for answers to the following questions: How can we meet your expectations from start to finish?

What solutions can we achieve with which software? What are the basic conditions for this and what path should we take together?

4th phase: Implementation

Once we know which software solution is the best choice for you, we take care of implementing it into your business and processes. Fast, reliable and always keeping track of the goal.

Our software solutions are web-based. Integrated into your existing IT environment without any losses. Over 25 years of experience – over 25 years of strategic information systems.

5th phase: Service

The most important aspect of any solution is the user! Users not only want to see practical added value but be satisfied with the solution as a whole. That’s why we offer bespoke services to achieve this together with you and guide your project to success.

Support

Get to know the software! Along with live presentations, potential users can put the software through its paces during the test phase. We also provide online and PDF user guides with step-by-step instructions for our solutions. Our support team is on hand to assist you through our help desk and hotline.

Learning

We offer training sessions, workshops, webinars, seminars and coaching sessions for our software solutions along with other popular IT topics. Contact us any time to make an appointment.

Expansion

Your business, requirements, processes and goals change over time. Our solutions move with the times! They are constantly reviewed for quality and offer state-of-the-art technology. We are a competent partner for any expansion requirements. Our software solutions can be modularly and individually expanded.

Consulting

Experience, know-how, customer proximity and expert knowledge form the basis of our services and consultancy. We follow a path from data and information to knowledge. Together with you. For you.

  • Ralf Sagmeister

    Ralf Sagmeister

    Senior Consultant

    Contact person for software solutions and technical specifications

    mail contact

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We will be happy to advise you on the right BI software solution based on your individual requirements.

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