Analytics courses in Pune Archives - Page 3 of 3 - DexLab Analytics | Big Data Hadoop SAS R Analytics Predictive Modeling & Excel VBA

Decades On, SAS is Still the Market Leader

In the 2016 February report by Gartner, SAS bagged the top slot in its execution ability and was once again placed in the quadrant of leaders in the Magic Quadrant for Advanced Analytics Platforms.According to the description, as provided by Gartner, advanced analytics involves various sorts of data analysis through the use of quantitative methods of great sophistication like machine learning, statistics, simulation, data mining in its both predictive and descriptive forms as well as optimization.

 

Decades On , SAS Still The Leader

 

The goal is come up with insights that are unlikely to be discovered through approaching business intelligence traditionally like query and reporting.

Continue reading “Decades On, SAS is Still the Market Leader”

Success factors for Business Intelligence program

Success factors for Business Intelligence program

To implement a successful Business Intelligence program, one needs to understand the dimensions that are critical to success of the BI program. Here we will discuss six critical success factors for the BI program.

Critical Dimension 1 – Strong Executive Support

If there is one dimension or critical attribute that has major influence on successfully implementing the BI program would be strong executive support. If there is any lack of enthusiasm at the top will filter downwards. A key component of obtaining strong executive support is a convincing and detailed business case for BI.

bc237409f3248ab18758b8ba3d22d3ee

Critical Dimension 2 – Key Stakeholder Identification

Early identification and prioritisation of the key stakeholders are crucial. If we do not know who will benefit from a BI solution, it is unlikely that we can persuade anyone that is in their best interest to support the BI initiative.

5

Critical Dimension 3 – Creation of Business Intelligence Competency Center (BICC) Many organizations have created a separate BICC to manage the lifecycle of analytics processes. Organizations must keep in mind while creating a BICC is that the need of Business Intelligence. They should ask all the strategic and tactical question before creating a BICC. Some of the key objective of BICC shall be

 

  • Maximise the efficiency, deployment and quality of BI across all lines of business.
  • Deliver more value at less cost and in less time through more successful BI deployments.
Also read: Business Intelligence: Now Every Person Can Use Data to Make Better Decisions

Critical Dimension 4 – Clear Outcome Identification

This dimension determines what outcomes the organization desires, and whether they are tactical or strategic.

  • Knowledge – What knowledge is needed for desired outcomes and where is it?
  • Information – What information structures can be identified from knowledge gathering and how can these same structures be beneficial.
  • Data – What sources of raw data are needed to populate the information structures?

Pursuing the answers to these questions requires both logic and creativity. We also need specific information at various steps in the BI process.

Also read: Trends to Watch Out – Global Self-service Business Intelligence (BI) Market 2017

Critical Dimension 5 – Integrating CSFs (Critical Success Factors) and KPIs to Business Drivers

Many business initiatives aim to obtain benefits – greater efficiency, quicker access to information that are hard to quantify. We can easily accept that greater efficiency is a good thing, but trying to quantify its precise cash value to the organization can be a challenge. These benefits are essentially intangible but need to be measured.

Therefore, when identifying these key values, they can be classified as “driving” strategy, organization or operations.

Strategic Drivers Influence:
  • Market attractiveness
  • Competitive strengths
  • Market share
Organisational Drivers Influence:
  • Culture
  • Training and development
Operational Drivers Influence:
  • Customer satisfaction
  • Product Excellence
Also read: Role of R In Business Intelligence

Critical Dimension 6 – Analytics Awareness

Organizations have a tendency to measure what is easy to measure – internal transactional data. Extending the sensitivity of the organization to external and internal data presents a fuller picture to decision makers of the organization and the competitive environment. If measures are appropriate, the organisation can start to improve the processes.

When the above mentioned six critical dimension of BI solution are place. Organizations can benefit the value from the BI solutions are exponential in manner.

6

For better implementation of BI Program, why not take up effective market risk courses offered by DexLab Analytics! Market Risk Analytics is a growing field of study; for more details visit the site.

 

Interested in a career in Data Analyst?

To learn more about Data Analyst with Advanced excel course – Enrol Now.
To learn more about Data Analyst with R Course – Enrol Now.
To learn more about Big Data Course – Enrol Now.

To learn more about Machine Learning Using Python and Spark – Enrol Now.
To learn more about Data Analyst with SAS Course – Enrol Now.
To learn more about Data Analyst with Apache Spark Course – Enrol Now.
To learn more about Data Analyst with Market Risk Analytics and Modelling Course – Enrol Now.

Banking Business and Banking Instruments-3: Mortgages

How to Leverage AI Strategy in Business?
 

In this blog we discuss the final banking instrument- Mortgages, for which models are developed extensively. A mortgage is a debt instrument, secured by the collateral of specified real estate property that the borrower is obliged to pay back with a pre-determined set of payments. Mortgages are used by individuals and businesses to make large real estate purchases without paying the entire value of the purchase upfront.

 

2

 

Mortgages are mainly of two types: (a) Traditional Mortgages (b) Adjusted Rate Mortgages.

 

Traditional Mortgage is a fixed rate mortgage, where the borrower pays the same a fixed rate of interest for the life of the mortgage. The monthly principal and the interest payments never change from the first payment to the last. Most fixed rate mortgages have a 15-30 year term. If the market interest rate rises, the borrowers’ payment does not change. If the market interest rate drops significantly, the borrower may secure the lower rate by re-financing the mortgage.

Continue reading “Banking Business and Banking Instruments-3: Mortgages”

Approach – Actionable Analytics

Approach – Actionable Analytics

 

In this blog post, we will discuss on the approach we can follow to provide an actionable analytics. Doing actionable analytics is not easier said than done. It requires a focused analytical process. Here we will outline the three important phase or levers that can improve the process of delivering actionable analytics. The three phases can help you to improve the financial aspects of the business by doing actionable analytics.

 

  • Discover
  • Explore 
  • Engage

Actionable-Data-Analytics-Cycle_f_improf_500x558

For example, if we are delivering actionable analytics for the marketing function. In each phase we will identify some critical characteristics or parameters that are going to influence the financial value directly or indirectly.

Continue reading “Approach – Actionable Analytics”

Quantitative Analysis 1 – Five Number Summary

To be a successful analyst or be a part of great analytics team, there are 3 important dimensions one would aspire to be or have. They are technical, business and tools. Hence, we would begin with one of the sub dimension of the technical skills, i.e. being quantified self or developing quantitative skills.

 Quantitative Analysis 1 – Five Number Summary

As per the Informs, the definition of Analytics shall be:

  Continue reading “Quantitative Analysis 1 – Five Number Summary”

Call us to know more