BI

Business Intelligence

For an immediate and future purpose, organizations should use a secret weapon called “data.” Highly integrated company information which enables users to gain new insights into business drivers and how to achieve their organization’s strategic goals better. Via business intelligence tools; this knowledge is taken to your hands.

Data Warehouse

Although the Data Warehouse mainly supports the information needs of an organizational information requirement and lives just below the sea level, Business Intelligence is just the tip of the iceberg. It is the first place to end-users will base their discontent and satisfaction of the whole solution on. It is, therefore, important that the business intelligence is user-friendly and that adequate information is provided to the right audience at the appropriate level at the right moment by the appropriate means.

While the BI market continues to change, specific stability has been achieved. The top-notch BI-products can no longer be blamed for the failure to succeed. Nonetheless, in some instances, some BI methods are indeed more suitable. BI tools range from software that permits querying, monitoring, and analyzing (OLAP) of data. From performance charts, the analysis of real numbers with a target number(s) through scorecards; to the interactive but easy-to-understand display of a multitude of complex information through dashboards that allow you to show executive information at once.

There are a number of essential topics for all various solutions: infrastructure, management, metadata layer definitions (presentation layers), protection, document design & content, quality, production transfer, migration and finally the integration of all different modules with each other (that allows for seamless drill through, drill-down or drill across).

Questions which can influence the final choices include:

  • Is the BI solution primarily informational or operational?
  • What types of information are required for the analysis?
  • How dynamic is your business situation?
  • How demanding are your business needs?
  • How much will data be analyzed (in terms of volumes)?
  • Does the BI-solution need to be blended with current or anticipated systems?
  • Are different tools standards coexisting?
  • Will the BI-solution be accessed by external business partners like vendors/suppliers and customers (Business Intelligence extranet)?

For all the leading industrial BI software suites, such as IBM Cognos, SAP Business Objects, Microsoft Business Intelligence, and Qlik, Platingnum has extensive experience and accredited consultants.

You can use the following services to leverage our Business Intelligence knowledge:

Implementation of Business Intelligence:

Set up your BI environment in the most efficient manner, from initial architecture, through a state-of-the-art definition of business metadata layers, flexible security configuration, and finally, the right reports, analyses, dashboards, and scorecards.

Business Intelligence Assessment:

If your BI investment does not pay off, there can be several potential causes. It may arise from inadequate resources for a given community, problems of health, quality simulations, improper metadata layer configuration, ineffective documents. All applicable causes can be found while conducting a BI evaluation of your environment, based on an exhaustive checklist. Furthermore, several actions to improve your BI ROI can be identified.

Business Intelligence Tool Selection:

Platingnum provides an elementary selection of BI software. It is a unique way of selecting suitable BI resources for any organization. It all starts with meetings with stakeholders to have an understanding of their needs and related preferences-not from a knowledge viewpoint but a BI perspective.

In addition to analysis by leading third party industrial analysts, the BI suppliers and their services can be identified based on these specifications, taking account of longlist selection criteria such as a Gartner Magic Quadrant, or including smaller players such as Qlikview, Pentaho and Infor, etc.

After this process, each vendor is invited to provide a detailed demonstration of its products hereafter. A proof of concept could complete the assessment. A detailed measurement matrix is used to evaluate the different instruments from various angles throughout the entire process. Lastly, both sellers will have a well-structured deliverable, outlining their goods, key strengths and weaknesses, their plan, and the final recommendation.

Business Intelligence Training:

Platingnum provides a wide range of different BI solutions for on-site training and seminars that provide an overview of the full scale of BI-related tools provided by a single provider for in-depth learning for different BI modules and provides us with a variety of BI technologies.

For further details or a unique inquiry, please contact us!

Business Intelligence - Data Integration

Data integration is the compilation of processes, tools, techniques, and philosophies, using fragmented information resources to support business objectives.

Data integration from a technical point-of-view involves subjects like database replication, virtualization, and service-oriented architecture. However, in the context of Performance Management or Business Intelligence, it is typically synonymous with ETL (Extract-Transform-Load) or ELT-related activities. Based on experience, we have learned that the process of building a server is time and effort-consuming.

To ensures a valid, reliable, scalable, auditable, productive, and sustainable environment, it is essential to do this in line with all the best practices when developing a system and architecture for data integration.

Platingnum provides extensive data integration expertise and accredited consultation services for all leading ETL software suites in the industry, including  IBM Infosphere DataStage, Informatica Powercenter, Oracle ETL/Warehouse builder, SAP Business Objects Data Integrator, and Microsoft SQL Server Integration Services. In providing the following range of services, we can use our experience of data management and ETL processes.

It is always useful to organise the end-to-end process of managing application launches. View on orchestration provides information about the end-to-end automation process, and that is very useful for creating and maintaining the Azure DevOps culture.

ETL Software Selection

While the functionality offered by the various key vendors is somewhat converging, some significant differences remain. Therefore, the specific functionality of the instruments must be balanced against your needs before making the (usually critical) investment decision. In conjunction with the technology choice approach, our provider-neutral position and previous experience with each of the tools will help you to make the correct decision effectively.

Set-up The ETL Architecture

It needs far more than the database installation of the program. The configuration must ensure that the technical performance of the ETL is maintained, reusable, and reliable, audit the ETL processes, check and improve data quality, optimal use of specific tool features like memory processing.

ETL Performance Audit

Several factors affect the performance of an ETL process alone and the whole user experience in performance management. It requires a deep understanding of the ETL solution itself, along with a vast range of other skills to analyze and review all ETL quality parameters.

Platingnum can deliver this unique combination of capabilities with a defined and validated methodology for the timely and cost-effective quality of these audits. Such audit results in a variety of recommendations for the ETL architecture and plans to implement these recommendations with the next steps.

ETL Coaching

Platingnum’s senior consultants may go beyond conventional classroom learning. Nothing helps in a transfer of knowledge as quickly and efficiently as one-on-one training with an accomplished ETL consultant.

ETL Development

The decisive ETL technology packages are recognized among our senior, accredited ETL Consultants, and Architects. They are, therefore, highly effective ETL developers, which produce quick results that can withstand the time test. Platingnum can take complete responsibility and provide a tailored and recorded ETL system for a Data Warehouse & ETL project.

For further details or a unique inquiry, please contact us!

Business Intelligence - Data Warehousing & Data Modeling

A well-designed and professionally formulated data warehousing system is an essential managerial activity for rational decision making in any organization. It is a cornerstone element of any best-in-class Performance Management architecture. Data warehousing helps an enterprise to store relevant management data from one or more sources (historical, current, or future) in one place. Hence it is considered as a core component of Business Intelligence.

Building such a data warehouse is not an easy task. This is evident in many failed Data Warehouse projects for both small and large organizations, and deployments in the past. The success and failures of past projects have taught us a great deal of good practice in data warehousing.

Building a good data warehouse comes with many challenges, and a successful data warehouse requires an experienced project team with both functional and technical skills.  At Platingnum, our experienced consultants have extensive expertise in designing and implementing functional data warehousing system. Platingnum offers a comprehensive service required for designing, building, and maintaining the best-in-class data warehouse with maximum Return-on-Investment for the business organization. Our skill set includes:

Data Modeling

We understand the art of translating business needs and processes into a conceptual data model based on well-established dimensional modeling principles, as defined by Ralph Kimball & Co.

The resulting data model represents the business process we aim, and it’s a valuable tool to verify the concept with the company users. Importantly, data modeling in this phase is done in a sufficiently generic fashion, to have enough consistent data modeling, to keep the data model sufficiently accessible, and to make it relatively easy to implement changes in the future as the underlying business process evolves.

Data Model Implementation.

A logical/conceptual data system must be correctly translated to the actual database model.

Platingnum has the technical know-how and experience to translate, keeping into consideration specific characteristics of each of the leading RDBMS platforms such as Oracle, Microsoft SQL Server, IBM DB2, Teradata.

This includes the application of combined functions like aggregate tables, materialized or indexed views, partitionings, advanced indexes, to mention but a few.

Database and Data Warehouse Tuning

The success of business intelligence or Performance Management environment depends on the large volume of inserts and updates as well as flexible and fast query response times.

To do this, we combine relevant RDBMS setting and technology-independent data modeling techniques. This results in an excellent performance of the data warehousing system for all data interactions.

Whatever the technology your organization uses, Platingnum can design and build your data warehouse from scratch. Additionally, we have a methodology that enables us to quickly audit and gives you concrete suggestions to enhance your existing data warehouse, as needed.

In any case, we advise that the value of a good data warehouse layout should not be underestimated. The additional cost incurred in the cumbersome development and maintenance second-rate data models, thus allowing make no business changes, will easily offset the investments in designing an open and flexible data model.

For further details or a unique inquiry, please contact us!

Business Intelligence - Meta & Master Data Management

Meta & Master Data Management are essential aspects of a performance management approach but often underestimated. Even though high-quality transactional data is present in the data warehouse, its practical value is minimal when the dimensional information is not well recorded and clearly defined.

There can be many types of metadata management. The metadata structure preferably includes operational metadata (e.g., business terms and definitions) and inter-linked technical metadata (e.g., tables and columns, ETL transformations, etc.) End users who can use this information to make proper decisions based on the information in data warehouses are provided with useful metadata. Also, people who develop and maintain business intelligence and performance management environments are provided with technical data to ensure that all technical definitions are consistently in keeping with them.

Platingnum enables you to identify your Performance Management implementation with the optimized Metadata architecture. The selection, configuration, and deployment of a significant range of metadata portfolios like IBM Metadata Server & Business Glossary (part of IBM’s Information Server platform), SAP Business Objects Metadata Management, Oracle Master, Data Management or Sybase Powerdesigner may be required. Platingnum has extensive experience in building tailored metadata architectures to suit our customers’ needs even when the out-of-the-box functionality of these suites does not meet the specific metadata needs.

Master data management is closely linked to metadata administration, and therefore, any initiative in this area should be coordinated carefully. In general, a data warehouse gathers information from various data sources and has to address the central data management issues periodically in consolidating reference data. Specifically designed to address these issues, the master data management program is essential for its place on the overall architecture for Performance Management. The data warehouse is, in some cases, the ideal place for managing fundamental data problems; otherwise, reference data within the transactional system may be preferable.

Platingnum helps you decide which of the leading software solutions the most suitable for your needs and which one better fit with both your operating environment and your decision-making system. Again the collection and deployment of leading data management systems such as IBM Master Data Management Server, SAP Netweaver Master Data Management, and Oracle Master Data Management might be necessary to achieve these goals.

For further details or a unique inquiry, please contact us!

Business Intelligence - Data Governance & Data Quality

In order to consolidate and safeguard investments made in the data by an organization as a whole, data governance is becoming increasingly essential to organizations. Usually, a continuous program is used to define how data-related topics can be handled commonly throughout the organization and to support data stakeholders.

Depending on your needs and the present situation in your organization, a data governance system can take many forms and can concentrate on subjects such as data and standards interpretation, data quality, privacy and security, structure and incorporation of data, data processing, and management alignment.

The data management program helps you to organize the activities of the existing programs or to develop new programs to deal with these topics. All these depend on the level of maturity of your company in these subjects. Platingnum can help you define your organization’s tailored data management program using our extensive experience in all these areas.

In every case, a Data Governance program has the following components to deal with:

  • Data definition standards and policies
  • Data ownership, account abilities, and decision rights processes
  • Data Stewardship and Data Quality
  • Data Security and Privacy
  • Data Life-cycle management

Platingnum can help you identify all those elements using recognized frameworks and methodologies, such as the open data governance model of the Institute for Information Management and the tougher IBM Data Governance Council Maturity Framework. All these can ensure you follow the right path to achieve your organization.

The quality of data is hot, too! It ought to be. Either small or well run, we never found an organization that has no quality of data issues. Nonetheless, it is complicated to deal with data quality problems, and no single-size approach, engineering or application can cope with that.

The purely technical approach to information quality is a common mistake most organizations make. We claim that a specific question of data quality is not theoretically resolved, but the organizational and process aspects most often play an essential role in resolving such problems. Platingnum understands this and adopts an integrated approach to improving data quality. The services provided are as follows:

Data Quality Processes and Organization.

We can check your existing data quality processes and compare them with some best practices in the context of our data governance offering. In this context, the role of a data quality steward within the organization is typically created and defined.

Data Quality Review

We can perform a rapid data quality scan, based on data profiling technique, depending on the software available in your system. This gives an objective measure of data quality in your transaction or data warehouse quickly.

Data Quality Architecture.

Using most ETL software’s standard functionality, we can set up a flexible and practical architecture of information quality that can secure data warehouse quality. We also provide a reusable setup for developing a solution for the profiling of data by combining ETL and BI software to provide basic reporting on data quality.

Data Quality Dedicated Software.

With our wealth of knowledge of this niche software market, Platingnum can help your organization to select the right data quality software that meets business requirements and integrates with your business environment. At Platingnum, we have specialist knowledge about  IBM Websphere Information Analyzer, IBM Infosphere QualityStation, SAP Business Objectives Data Quality Management, Informatica, and SAS Institute DataFlux solutions.

For further details or a unique inquiry, please contact us!

Strategy Management & Scorecarding

In the case of an organization with scorecards, the right Key Performance Indicators (KPIs), relative to their corresponding targets, are tracked and monitored to enable visibility in all directions. Besides, scorecard helps to coordinate and empower the various teams and departments that are present in an organization through effective communication of goals and actual performance.

One can depict typical Business intelligence architecture as a kind of pyramid: based on the pyramid are query and reporting tools that show what has been happening in the belly of the pyramid, OLAP tools are located and allow for more analytical functionality oriented towards why the top-level happened.

Scorecarding and Strategy Management complements other levels in the structure of business intelligence. One can quickly analyze the metrics in a scorecard app based on the specified stoplights and trends. Furthermore, specific KPIs can be investigated more closely through multidimensional analysis through OLAP tools. Ultimately, generic documents can be used to obtain the best descriptions of the metrics that help identify a particular KPI.

As such, the following components include scorecarding solutions:

  • vision and mission modified into strategy maps & objectives
  • cause & effect relationships
  • choosing the right Key’ PI’s in the function of the organizational strategy which is translated into actual measures which need to be tracked
  • appropriate targets & variances
  • ownership & accountability
  • metadata, calculation
  • & definition
  • actions & milestones for closing the gap between measured actuals & their pre-set targets
  • visualization

All this is best supported by an integrated (near-) atomic data storage layer that gathers the actual atomic measures of different data sources and also collects target values from the planning & budgeting applications, combined with the different actual KPIs. This allows for the creation of an authentic architecture of corporate performance management where past and future are connected.

Platingnum can help automate the process of scorecard system and strategic management that does not just focus on the scoring applications itself, but also on the extensions for the underlying layer and planning applications in the data warehouse.

Scorecard automation:

In addition to the definition of the scorecard, the scorecard has to be automated. This includes, among others: an evaluation of the technological climate, the classification of the potential business users and their related positions, an examination of user requirements, the specification of data sources for all current & target initiatives (most likely involving applications for planning and budgeting). It also involves investigation of the fit for purpose capabilities of those data sources, source to the scorecard data feed, definition of the business user interface, the definition of different scorecards in the function of the different audiences, testing, roll-out, training & support.

Scorecard Tool Selection:

Platingnum offers a simple solution choice for scorecarding. This describes a unique approach to pick a suitable scorecard solution for your business. The selection process includes the following aspects: current infrastructure, organizational requirements, quality & maturity of the results of the various tools used in the selection process, as follows: strategy maps, causes & effects, lighting, visualization, manual data entry, metadata, ETL, integration with other BI components.

Platingnum has proven experience in Scorecard and Project Planning Automation. We not only focus on scorecards but also address problems concerning the consistency of KPI, the underlying architecture of the data store and the planning applications, the data quality, the possible distance between scorecards demonstrations, and the real thing. You can start with our advice on the implementation of a scorecard in your scorecarding project.

For further details or a unique inquiry, please contact us!

Power BI desktop

Power BI Desktop is a free application that allows you to connect, transform, and visualize your data to your local computer. Power BI Desktop allows you to connect to a wide variety of data sources and to merge them (often called modeling) to create a data model that allows you to construct visuals and collect visuals that you can share with others within the company as documents. Most users working on Business Intelligence projects use Power BI Desktop to generate reports and then use Power BI to share their reports with others.

Platingnum experts can use Power BI Desktop’s to help you:

  • Connect to a data source
  • Modify and refine that data, to create a data model
  • Formulate visuals
  • Create reports & share reports with others using Power BI service
  • Create complex and visually rich, all in one report that you can share with others in your organization

Power BI Service

The Microsoft Power BI service is also known as Power BI online. Power BI keeps you updated with the relevant information.

For further details or a unique inquiry, please contact us!