Accurate and meaningful data insights are required by executives and employees in order to effectively implement and update their business strategy. However, research suggests that most analytics features do not serve this function. In the 2019 KPMG Global CEO Outlook, 71% of CEOs surveyed reported their disregarding insights provided by analytics solutions, preferring to base decisions on their own intuition. Even so, the report concludes that CEOs will need to “anticipate their requirements through insights gleaned from data-driven analysis.”
Data is the new gold – Have you measured the impact of bad data in your organisation? Here’s how…
With data being the new gold of the digital transformation era, the cost impact of data quality is becoming more and more relevant. In today’s world data is used for decision making across the entire organization. Are companies aware of the economic impact data quality problems can have on their business?
This article will show you how: By leveraging an enterprise solution, SAP Information Steward and applying a lean methodology Six Sigma, we can offer companies clear evidence of their data quality, the economic impact their business is suffering from quality issues and, even more important, the right tools to minimize this cost.
Delivering seamless integration across the real estate value chain
The advanced analytics solution delivered by Clariba has saved thousands of hours of manual work for Servihabitat. Data consolidation processes, which previously required 2 weeks of manual work, are now fully automated, and Servihabitat’s tier 1 customers are receiving the best possible service.
After this critical success, Servihabitat is now extending the solution to its entire customer base, providing them with an unparalleled real-time service, not seen in this industry before.
Clariba and Servihabitat have become agents of value in the real estate industry by not only creating internal efficiencies, but also automating mass delivery of information through the value chain.
The Balanced Scorecard with Corporater BMP: Making Strategy Measurable
In our previous article, we presented the Balanced Scorecard as a dynamic strategy model that empowered businesses to effectively articulate and monitor business procedures. In this article, we will elaborate on the Balanced Scorecard as a specific functionality within Corporater BMP (Business Management Platform). This technology has been certified by Palladium-Kaplan-Norton as a recognized Balanced Scorecard solution given the popularity of the Balanced Scorecard model among clients.
The Balanced Scorecard Premise: Pushing the Boundaries on Performance Metrics
The Kaplan & Norton Balanced Scorecard is a key feature within Corporater BMP (Business Management Platform) that offers end users an effective means by which a powerful business strategy can be developed and monitored. It was formulated by Robert Kaplan, Professor of Leadership Development at Harvard Business School, and business theorist David Norton. The Balanced Scorecard model was first presented in a 1992 edition of the Harvard Business Review, and was subsequently adopted by thousands of private, public and non-profit organizations, becoming a standard practice in the articulation of business strategy.
Clariba & Corporater sign strategic partnership
Powering vital public services with actionable insight - a success story
To successfully deliver on its roadmap, FEWA embarked on a digital transformation journey, moving towards becoming a data-driven organization, and selected Clariba to help integrate vast amounts of scattered data from multiple sources with the objective to achieve actionable insights. Thanks to the solution delivered by Clariba, execu-tives at FEWA now have a clear perspective on the fulfillment of their corporate objectives — decisions are now based on meaningful and reliable insights.
MACHINE LEARNING FOR BUSINESS SERIES: DECISION TREES
Machine learning has become a central topic of interest in the media, thanks to its recent successful applications in creating value in a variety of business scenarios. At Clariba, as experts in predictive analytics, we are active agents of its adoption and democratization, since we have been applying ML in our predictive solutions for a long time. When used wisely and with the proper methodology, Machine Learning techniques can offer an increase in performance to businesses and organizations of all types.
PUIG delivers actionable insight for mobile, collaborative decision-making at the board-level
Top Management, executives and decision-makers at PUIG, a leading retailer of luxury fragrances and fashion products worldwide, are now using a Clariba developed advanced analytics solution for faster decision-making.
With the comprehensive, mobile solution delivered by Clariba, executives can now analyse clearly defined key performance indicators across all business areas and collaborate in real-time.
Clariba Big Data Series: Hands on with SAP VORA
SAP Vora is an in-memory computing solution from SAP that allows to develop analytical applications from massive data sources (Big Data) and NoSQL. In this article we will introduce you to its main components and features. Furthermore, we will disclose some initial insights about its performance by using a test case developed at Clariba. Let’s start with a brief introduction.