In the ever-evolving landscape of cloud computing, choosing the right platform for your business’s data management needs is critical. Microsoft Azure, a prominent cloud service player, offers a compelling suite of tools and services for cloud data management. But is it the right fit for your organization? 

Learn more as we delve into the pros and cons of Azure for cloud data management, providing valuable insights to help you make an informed choice that aligns with your business objectives

What is Azure?

Microsoft Azure is a versatile cloud computing platform developed by Microsoft, renowned for its widespread adoption across the industry. As a robust cloud service for businesses of all sizes, Azure offers a comprehensive range of computing, storage, databases, networking, and more services. 

With its global network of data centers, Azure services enable organizations to build, deploy, and manage applications and services in a highly scalable and secure environment, making it a go-to choice for businesses seeking reliable cloud solutions to fuel their digital transformation journeys.

Why Consider Azure for Cloud Data Management? (The Pros)

Scalability and Flexibility

One of the key advantages of considering Azure for cloud data management is its exceptional scalability and flexibility. Microsoft Azure services empower businesses to effortlessly scale their resources up or down in response to changing demand, ensuring optimal performance without overprovisioning. This dynamic scaling capability enhances efficiency and translates into significant cost savings by eliminating the need for constant, costly infrastructure adjustments. 

With Azure’s flexible approach, organizations can seamlessly adapt to evolving data requirements, maintaining a competitive edge in an ever-changing landscape.

Global Reach and Availability

Another compelling reason to consider Azure for cloud data management is its impressive global reach and availability. Azure boasts an expansive network of data centers strategically positioned worldwide, enabling businesses to serve their customers and users with unparalleled speed and reliability. This widespread presence minimizes latency, ensuring that data and applications are accessible swiftly from virtually anywhere on the globe. 

This translates to improved performance and enhanced reliability for global enterprises, fostering a seamless and responsive user experience. Azure’s global infrastructure empowers businesses to expand their reach effortlessly, capturing new markets and maintaining a competitive edge in today’s interconnected world.

You can store and recover vital company data.

When it comes to storing and recovering vital data, Azure excels as a cloud computing platform. At its core, Azure offers robust data storage solutions that allow businesses to store their critical information on Azure’s online servers securely. Its adaptability to cater to your specific business needs sets Azure’s cloud services apart.

With Azure’s storage capabilities, you can choose from various options such as Blob Storage, File Storage, and Azure SQL Database, tailoring your data storage strategy to align perfectly with your requirements. This flexibility allows you to decide when and how you access your data, ensuring that it suits your business’s operational and cost considerations.

Comprehensive Security Features

Azure’s commitment to security is a fundamental reason businesses turn to it for their private cloud data management needs. Azure provides a multi-layered security approach encompassing encryption, identity management, threat detection, and regulatory compliance, ensuring comprehensive protection for your data.


Azure employs encryption at rest and in transit to safeguard data. Data stored in Azure is automatically encrypted, and Azure Key Vault allows you to manage and control access to encryption keys. This ensures that the data remains unreadable even if unauthorized access occurs without the proper encryption keys.

Identity Management

Azure Active Directory (Azure AD) is a robust identity and access management solution that enables businesses to manage user identities and control access to resources. Multi-factor authentication and conditional access policies add an extra layer of security to verify user identities and ensure that only authorized individuals can access sensitive data.

Threat Detection

Azure Security Center provides advanced threat detection and protection. It continuously monitors your Azure resources, detects potential threats and vulnerabilities, and offers recommendations for remediation. It can even help you respond to security incidents effectively.

Regulatory Compliance

Azure offers a wide range of compliance certifications, including GDPR, HIPAA, SOC 2, and more. These certifications demonstrate Azure’s adherence to industry-specific regulations, making it easier for businesses to meet compliance requirements without the need for extensive, costly audits. Azure also provides compliance guides and tools to help businesses understand and implement compliance controls.

Cost-Effective Solutions

Cloud migration service providers require a much smaller investment when developing and maintaining your IT infrastructure. With a cloud environment such as Azure, you do not need to cover hardware and maintenance costs. Instead, you only pay for what you use and when you use it.

Advanced Analytics and AI Capabilities

Azure offers a rich ecosystem of tools and services for data analytics, machine learning, and artificial intelligence (AI), empowering businesses to extract valuable insights from their data and make data-driven decisions. 

Here are some key capabilities and examples of how businesses can leverage them:

  • Azure Synapse Analytics: This powerful analytics service allows businesses to analyze large volumes of data in real time. For example, an e-commerce company can use Synapse Analytics to analyze customer behavior data to identify trends, optimize product recommendations, and enhance the customer shopping experience.
  • Azure Machine Learning: Azure provides a comprehensive platform for building, training, and deploying machine learning models. In healthcare, organizations can leverage Azure Machine Learning to develop predictive models that identify patient readmission risks, helping hospitals allocate resources more efficiently and improve patient outcomes.
  • Azure Databricks: Businesses can use Databricks to process big data and perform advanced analytics. For instance, a financial institution can use Databricks to detect fraudulent transactions by analyzing large datasets for unusual patterns or anomalies.
  • Azure Data Factory: This service simplifies data integration and transformation processes. A manufacturing company can use Data Factory to consolidate data from various sources, perform data cleansing, and create a unified, reliable dataset for better production planning and optimization.

Considerations and Potential Drawbacks (The Cons)

Learning Curve

Transitioning to Azure does come with its set of challenges. One significant consideration is the potential need for staff training, particularly for those who may not be familiar with the platform. This learning curve can be a hurdle for organizations aiming to make a seamless migration to Azure.

Azure Consultants

As a trusted partner in your cloud journey, WCI can play a pivotal role in helping your organization overcome this obstacle. By offering comprehensive training programs and resources tailored to Azure, WCI can equip your staff with the knowledge and skills to navigate and utilize the Azure environment effectively. This support ensures that your team is prepared to maximize the benefits of Azure while minimizing any disruptions during the migration process.

It’s also important to note that Azure’s complexity requires expertise and ongoing management to ensure all components work harmoniously. This means that businesses may need to invest in or partner with professionals who possess Azure-specific skills to configure, optimize, and secure their Azure deployments. This expertise is crucial to maintain your cloud infrastructure’s stability, security, and efficiency over time.

Requires Ongoing Management Or Azure Data Platform Consulting

While Azure allows you to lower costs for purchasing hardware and locally maintaining infrastructure, it still needs you to handle data management. It does not assist in managing cloud-based data centers, so you will still need to hire people who know how to use Microsoft Azure and can handle server monitoring and patching. 

Migrating to Azure

Partnering with WCI as your trusted experts in Azure Consulting helps you navigate the complexities of the Azure platform and unlock the full potential of cloud technology for your business. Learn more about our tailored Azure solutions, training, and ongoing support to ensure a seamless experience. Focus on what matters most—driving innovation and growth. 

Get Started Today 

The experts at WCI can help your organization determine if Microsoft Azure is the right cloud solution for your business or if other hybrid solutions would better suit you. Learn more about the pros and cons of using Microsoft Azure by requesting a free consultation today!

Choose WCI as your strategic ally in the Azure journey, and let us empower your business for success in the cloud era.

In the world of business marketing, data is everywhere and should be leveraged in all plans and strategies. From customer data and trends to industry benchmarks and more, these different data points and sources allow businesses to understand better where they are and create a plan for where they want to be. While capturing as much information as possible can be tempting, you won’t get far without the right strategies to properly understand and effectively use this data. 

Brands often struggle to use data meaningfully if data isn’t structured for analysis or if no marketing data-driven strategy is in place. Reviewing data alone does not lead to actionable insight or usable roadmaps for a company’s next steps. And while it requires analysis to become information and further context to become insight, together, it can tell a compelling story that can lead to strategic change. 

With the right tools, people, and support in place, this can be a reality for your business.

3 Components of a Data-Driven Strategy 

Marketing analytics is the practice of using data to evaluate the effectiveness and success of marketing activities. That data must be collected, analyzed, and reported to understand how it fits the overarching business strategy and goals. This data can also be used to measure the effectiveness of marketing campaigns, track customer behavior, optimize marketing strategies, and more.

Tracking key metrics and analyzing the data can identify trends and patterns that indicate what’s working and what’s not in any industry. You can then use this information to tweak your marketing strategy and achieve better results. But you must develop a solid marketing analytics strategy to improve your marketing effectiveness. This will allow you to collect accurate and timely data, analyze it for insights, and take action based on those insights.

1. Data insight

A successful data strategy transforms a company’s data into informative insights and financial gains — but it shouldn’t stop with simple reports and charts. If you want to make effective decisions for your business, big data analytics must be considered in everything you do. This is where marketing analytics comes in. 

Without data insights to create meaningful conclusions, businesses’ guesses of what customers want, how they will grow, and so much more is simply that – a guess. Data insights allow you to see trends, predict future patterns, understand your customers, and paint a larger picture of your business. Data also allows you to track progress and adjust accordingly, so you always know what tweaks and changes within the company are impacting your bottom line. 

2. Data management

Once you have the data insights, you have to collect and manage them somewhere. Having a data analytics and business intelligence expert on your team can help you know what to do with this information, but that in-house person doesn’t exist for many businesses. Cue a data management consultant partner you can trust. 

Working with a consulting partner to help you leverage the power of your data is crucial in getting the most out of all of the customer marks you’re collecting. And with security a top concern for many businesses, storing that data safely is just as important as gathering it. 

At WCI, we help businesses organize, optimize, and analyze their data to make more informed and profitable data-driven decisions. Learn more about how WCI works with companies to manage, collect, and store data. 

3. Team Enablement

You have the data. You’ve stored the data. Now you’re ready to analyze and share the findings with your team. When used effectively, data can unleash new potential for any business. But what happens when your team can’t access or interpret it? Your data is only valuable when technical expertise can use it to improve your organization and profit. 

Team enablement is part of our process at WCI, as we walk teams through training sessions that help them get the most out of sharing their data and analytics in one centralized place. Vital training for you and your team helps ensure the technology you’re using gets adopted into your workflow and you get the most out of your new solution and data findings. 

Building a Data-Driven Strategy

A data strategy is paramount to success and must be implemented to maximize your business intelligence. With a marketing strategy that considers data and how to use it, organizing can drive more leads, discover better opportunities, make smarter decisions, create a better company culture, provide more value to customers and employees, and so much more. These insights can completely transform the way a business operates for the better. 

Feel Empowered to make Data-Driven Decisions

You can leverage analytics in your overall marketing strategy and business growth plans by compiling your data and an experienced team of experts who know how to make the most of it. 

At WCI, we are data management consultants that help businesses organize, optimize, and analyze their business data to make more informed and profitable data-driven decisions. In addition, we help you better tie together business data from your entire company to stay better informed and discover opportunities. Get a free on-site discovery session with our team today. Click here to see other clients that WCI has helped.

As organizations continue to adopt agile and lean methodologies, business intelligence has become a critical component in optimizing data management strategies that provide valuable insights for informed decision-making. 

In today’s world, very few organizations aren’t leveraging the power of agile and lean methods within some of their software development teams. Not only is agile popular amongst IT departments it’s being applied, but agile is being incorporated into all aspects of many businesses. This trend began in 2001 and has steadily grown since then. 

Data Management is a crucial process component, and it promotes a pragmatic, streamlined approach to data management that fits into the rest of an IT process. Consequently, there is a need to optimize a Data Management strategy within the overall workflow of organizational processes. Disciplined Agile Data Management does just that evolutionarily and collaboratively, offering concrete data management strategies that provide the right data to the right people at the right time.

What is an agile mindset?

At the basic level, Agile refers to continuous and incremental improvement through small and frequent releases. The term Agile data is commonly associated with software development as a project management methodology and breaks down large projects into weekly “sprints.”

Rather than forming a business intelligence strategy that you plan to roll out in six months, an agile approach would break down those 6 months’ worth of work and organize them into weekly lists of tasks to build on. These short increments are often referred to as sprints. 

An agile mindset allows for constant feedback from your business staff and creates shorter development cycles. If one aspect is not meeting the business need, it can be identified and remedied quickly before spending too much time and effort on something that doesn’t work. If you use an agile approach, the collaboration will be at the core of your team’s work to ensure the deliverables are met. As a result, you’ll be able to see results quickly and gain momentum in your overall business intelligence strategy versus other traditional approaches.

An agile data mindset emphasizes the following:

  • Open collaboration, both within the product team and with stakeholders
  • Rapid iteration that delivers small incremental usable items of value
  • Continuous inspection and improvement to improve the team’s velocity over time
  • Empowering the department team to self-manage

Key Factors in Adopting an agile mindset for BI

1. Keep your eyes on the big picture

You may have an immediate problem that you need to solve and want to use BI to get there. This may work as a short-term solution. However, you may also find that you put a lot of time and energy into addressing one issue, only to find that it will not help with future problems.

Part of your business intelligence strategy should focus on solutions that can answer many questions over time. In addition, your business intelligence should be adaptable as your company grows and goals change.

Most importantly, your business intelligence should align with your overall business strategy. Whether you are looking to improve operations, increase sales, or provide more efficient service to your customers, your business intelligence analytics should be able to identify the relevant data for your goals.

2. Involve the right people

No matter the size of your business intelligence team, you need to involve a group willing to put changes into practice. 

Your team should include several roles:

  • People who are experts at using tools to retrieve and display data
  • People with the right insights to interpret the data
  • People who can support the organization by putting the data into practice

Your organization may need training across multiple departments. Your business staff has to understand that the data will help them make better business decisions. If you maintain a strong relationship between your business staff and your business intelligence team, you will have the most success from your business intelligence strategy. 

Depending on the size of your organization, some of these roles may overlap, or you may also find that you need outside business intelligence consulting

3. Identify the pain points 

You may have business staff that already know what data they need to make informed decisions within their departments. They may be manually compiling data in Excel or preparing reports independently. Unless this is brought to the attention of the business intelligence team, no improvements can be made. The BI team should talk with leaders within each department and find out what questions exist today and how BI solutions can help. 

If the “workarounds” that staff use are needed for their jobs or part of overall company goals, they should be implemented into the BI strategy. These one-off methods can be replaced with more robust analytics and reporting.

Successful implement and optimize BI Solutions

Incorporating agile into your organization’s practice may sound challenging, but getting started may be easier than you think. The first step is reviewing your current process and identifying how to break down large projects into smaller ones. Next, review the team and roles that support each task and begin scheduling weekly meetings to keep everyone on the same page. 

As each project progresses, an agile approach allows you the flexibility to adjust, change course, and optimize at all stages as you need. Export support can also help make agile a reality for your team. 

Get the right business intelligence experts in your corner

Our team of BI experts at WCI will design and develop systems to help you leverage the power of your data:

  • Stay proactive using real-time data
  • Empower your team with easy-to-use dashboards
  • Access your data anywhere with mobile intelligence solutions
  • Make smarter decisions with predictive data models
  • Stay productive with fewer interruptions and quicker answers
  • All on the best platforms and technology for you (including cloud business intelligence on AWS, Azure, Power BI, and more…)

Get started today

WCI is a business intelligence consulting company with a team of experts based 100% in the USA. If you’re ready to implement agile and begin working smarter, WCI is here to help. Talk with our experts today to learn more. 

The Client

Mediant Health Resources specializes in providing IT subject matter solutions. Mediant’s focus is on driving value through data to improve performance and clinical outcomes. Mediant offers outstanding strategic consulting, project management, and training for many of the nation’s most widely respected healthcare organizations. Mediant Health Resources strives to improve its client’s software systems by providing exceptional IT consultants to both providers and payers.

Executive Summary

Mediant, since its inception, has conducted its day-to-day business (resource management, payroll, commissions, leave, reporting/dashboarding) using non-cloud-based technologies that made it difficult for users to access it remotely. Recently Mediant invested heavily in building a more robust cloud-based application to manage their business. Through the process of building a new application, most of their analytical capabilities were lost due to back-end structural changes

The Challenge

Excel Reporting

Mediant relied heavily on Excel for reporting and dashboarding, which is not easily scalable, lacks security, is not collaborative, and has become unstable

Outdated Architecture

Due to the outdated architecture, Mediant was seeking a fresh new approach to visualizing data and engaged WCI Consulting to help design and implement a solution.

Cost Effective

Understanding the issues that were needing to be resolved, we needed to be able to implement changes and come up with solutions that would last into the future but in a cost-effective way.


WCI worked closely with the Mediant team to develop a secure, scalable, and easily accessible financial and commissions application (FCA) in the AWS platform. FCA replaced the existing Excel-based data entry application. Some of the AWS services used to create FCA were RDS Postgres, API gateway, Incognito, Lambda, and Amplify. Utilizing WCI’s experience with creating cloud-based data and analytics platforms, AWS Quicksight was deployed to replace the existing outdated excel based approach. WCI felt this was an easy decision due to the simplicity of embedding visualizations into applications, its low cost compared to other visualization tools, its ability to scale, compatibility across multiple devices, and ease of use. Learn more about other companies that have overcome their business challenges thanks to WCI.

Results and Benefits

Because of the ease of employing AWS services, WCI was able to deliver a robust data and analytics platform quickly and at a lower cost than using traditional on-premises solutions.

This AWS solution allows Mediant Health Resources to securely access the FCA application from wherever they are, on any device, not just when they are in the office. This secure solution also allows for the quick adding of new users and the removal of users who are no longer entitled to access the data. Due to the scalability and stability of the platform, Mediant has increased efficiency in its interactions with FCA.

The old excel based data entry methods have been replaced with a responsive application that allows data to be entered in a fraction of the time. Processes that used to take hours have been reduced to minutes. In addition to improving the data entry process, Mediant can now view all analytical content directly in the FCA application using embedded Quicksight visualizations.

With Quicksight, the speed of developing visual content has significantly increased thanks to its ease of connecting to sources, creating content, and deploying that content. As a result, Mediant can deliver enhancements and expand its offerings at a much faster pace than they could on their previous platform.

Aws Quicksight Visualization

See what more WCI clients have to say about our services.

5 Steps To Designing An Enterprise-Ready Data Warehouse In Aws At Wci Consulting

The right approach to an enterprise-ready data warehouse architecture is fundamental to your organization. If you want to become data-enabled, start a data-driven transformation program or grow your organization using data, data warehousing modeling, consulting, and business intelligence tools can be a massive asset to your business.

Today, we’re sharing a deep dive into some core components you need to build a successful enterprise-ready data warehouse in AWS.

What is an enterprise data warehouse?

An enterprise data warehouse (EDW) is a large, centralized data repository that supports an organization’s reporting and analysis needs. It is built to integrate data from multiple sources and to provide a single version of the truth for the entire organization.

An EDW typically has scalability, performance, data integration, quality, governance, security, accessibility, and flexibility. Large organizations often use these data warehouses to handle large amounts of data and support complex reporting and analysis requirements.

What are the benefits of using a data warehouse?

  1. Informed decision-making: Data warehouses provide a single version of the truth, making it easier to understand and analyze the data, which leads to better business decisions.
  2. Centralized data storage: A data warehouse allows you to store all your organization’s data in a single, centralized operational database, making it easier to manage and access.
  3. Improved data quality: Data warehousing analytics tools and techniques can be used to clean, transform, and standardize data, improving the overall quality of the data.
  4. Increased data accessibility: Data warehouses make it easy for business users and business analysts to access and analyze data, regardless of where it is stored or in what format it is in.
  5. Better performance: Data warehouses are optimized for reading and querying large amounts of data to handle complex queries and large data sets more efficiently than traditional databases.
  6. Scalability: With a data warehouse, it is possible to scale up as the amount of data grows, to ensure continued performance and accessibility.
  7. Cost-effective: Data warehousing solutions like Amazon Redshift allow a pay-as-you-go pricing model, which helps organizations be cost-effective and eliminates the need for upfront investments for hardware and software.

Can you build an enterprise data warehouse in AWS?

Yes. It is possible to build an enterprise data warehouse in AWS using various services such as Amazon Redshift, Amazon RDS, and Amazon S3. Amazon Redshift is a fully managed data warehouse service that can handle petabyte-scale data warehousing and big data analytics workloads. 

Amazon RDS can be used to set up a relational database as the data source for the data warehouse, while Amazon S3 can be used to store and retrieve data for the data warehouse. Additionally, AWS Glue and AWS Lake Formation can be used for data cataloging and ETL processes.

What is the data warehouse tool offered by AWS?

AWS offers a data warehouse tool called Amazon Redshift. It is a fully managed, petabyte-scale data warehouse service in the cloud that allows users to quickly set up, operate, and scale a data warehouse that is highly available and durable, with a pay-as-you-go pricing model. 

Amazon Redshift is designed to integrate with other AWS services, such as Amazon S3, Amazon EMR, and Amazon QuickSight, making it easy to load, query, and analyze data in your data warehouse. Additionally, it supports a variety of data warehousing and big data analytics use cases, including reporting, analytics, data warehousing, and business intelligence.

What are the key steps to designing a data warehouse?

Setting up data warehouse models with business analysts like WCI can be fast and straightforward. 

Step 1: Determine Core Business requirements and sources: This is the first and most crucial step in designing a data warehouse. It involves identifying the key business requirements and objectives that the data warehouse is expected to support. This step also includes identifying the data sources used to populate the data warehouse. These sources include transactional systems, external data feeds, and other data warehouses.

Step 2: Collect and Analyze the Information: This step involves collecting data from the identified sources and analyzing it to understand the data structure, relationships, and quality. Data profiling and data discovery tools can be used to understand the data better and identify any issues that need to be addressed.

Step 3: Identify Core Business Processes: This step involves identifying the core business processes that the data warehouse will support, such as reporting, analytics, and data mining. This will help determine the required data elements and the type of data that must be stored in the data warehouse.

Step 4: Design and Construct a Data Layer: This step involves designing the logical and physical data models for the data warehouse. This includes determining the appropriate data structures, relationships, and storage methodologies. This step also involves creating the necessary database schemas, tables, and views to support the data warehouse.

Step 5: Plan Data Movement and Transformations: This step involves planning how data will be moved from the source systems to the data warehouse and how it will be transformed to meet the requirements of the data warehouse. This includes designing the extract, transform, and load (ETL) processes and creating the necessary mappings, workflows, and jobs to support the data movement and transformations.

Getting The Most from Your Data

To get the most out of using a data warehouse, it is essential to define precise business requirements, collect and analyze data from various sources, identify core business processes, design and construct a data layer that meets those requirements, and plan data movement and transformations. It is also essential to have a well-designed and well-implemented data governance plan that includes data quality, security, and compliance. 

You also need a skilled team with experience in data warehousing, data modeling, ETL, and data analysis to ensure that the data warehouse is properly designed, implemented, and maintained. Regular monitoring and performance tuning are also essential to ensure that the data warehouse runs efficiently and effectively. 

If you’re ready for effective enterprise planning, connect with the experts at WCI today

Learn about cloud migration services to AWS at WCI

A successful data strategy transforms a company’s data into informative insights and financial gains — but it shouldn’t stop with simple reports and charts. Instead, your data should help you look far beyond what’s happening in your business and better plan for the future ahead. With this data at your fingertips and a well-laid data strategy, the possibilities are endless. 

Harness your data and develop a sound strategy that supports your organizational growth and boosts your bottom line. Suppose you want to become data-enabled, start a data-driven transformation program, or grow your organization using data insights. In that case, a comprehensive data strategy is a fundamental must-have for your organization. 

Whether you are already implementing a big data strategy or just starting, these four components are crucial in creating a successful enterprise data strategy that works for your company’s unique needs. 

Things to Change About Your Data Strategy

1. The Purpose of Your Strategy

Before you can use a data strategy, you must first determine the purpose of why you have it in place. How do you want to leverage your data and use it to inform business decisions? It’s essential to identify what it is you want to use data to do. Without a clear strategy, your data won’t inform your plans and decisions within the business.

There is no reason to create a new database for storing data if you haven’t already established how to leverage that data and allow it to inform your decisions. Data uses are numerous, from reporting output numbers and funders to feeding data-driven algorithms that speed up your work and persuade people to join your cause. 

If you’re at the beginning of your data journey or are considering a new strategy at your organization, it may be an excellent time to assess what outcomes you want to achieve with data.

2. Your Data Management Processes and Practices

Data management is a crucial business driver that helps ensure data is gathered, validated, stored, and protected in a standardized, repeatable way. It is essential to develop and deploy the right processes to manage your data so end users are confident that their information is reliable, accessible, and up to date.

You can easily collect data, but managing, organizing, and utilizing that data can make or break the bottom line. If you’re unsure how to process your data, work with a data management consultant who can help your complicated data system adhere to your business objectives and improve your bottom line.

3. Your Approach to Data Governance

Data in today’s day and age is used for everything, and data governance functions, processes, and technologies should be constantly revisited. As you review your data, consider managing data quality, metadata, cataloging, self-service data access, security, and compliance across your enterprise-wide data and analytics lifecycle. Further, extend data governance to foster trust in your data by creating transparency, eliminating bias, and ensuring explainability for data and insights fueled by machine learning and AI.

With mergers, changes in data governance, executive restructuring, new regulations, emerging competitors, and other shifts in the business environment, a flexible approach to enterprise cloud data strategy tailored to your needs is the best option for many businesses. 

Working with WCI Data Solutions ensures long-term business success

WCI Data Solutions supports partners in finding long-term business success when it comes to data management in a variety of ways. We support businesses with the following: 

  • Exploring the current systems through an audit of how your business consumes and uses data
  • Mapping out an Enterprise Data Strategy that caters to the data needs and goals of the organization
  • Building and executing a Roadmap that achieves these strategic initiatives
  • Assuring long-term success by providing post-project support

4. How You Manage Change in Your Strategy

No strategy is ever complete without an element of change management clearly outlined. Adapting your culture to be more holistic and getting stakeholders to work together and formulate the business questions for your data to answer is not easy. Consider how you’ll manage this change in your organization. 

Remember that any effective data strategy aims to tie together the various components of your business data and better inform and discover marketing opportunities through these numbers. Whatever strategy makes the most sense for your organization, embrace it and pivot as you need.

And for all of the other questions you have, an experienced data consulting partner can help.

Need Help Developing A Successful Data Strategy? 

The team at WCI Consulting lives and breathes data. Discover the best ways to manage your data, schedule your free, on-site discovery session with our experts, and spend half a day with people who know data inside and out.

As a business leader, you may understand that data management and business intelligence are essential to your organization’s success. Business analytics enable you to make informed, fast decisions, react to market changes efficiently, and always stay one step ahead of the competition. Companies that successfully implemented master data management continually grow, but how can you ensure that your business’s intelligence is optimized and working for what you need?

If you’re looking to tie together business data from all areas of your company to inform and discover opportunities but aren’t sure how, we’ve got the answer for you.

So What Does Business Intelligence (BI) Include?

Business intelligence refers to the technology that enables businesses to organize, analyze, and contextualize their organization’s data from all aspects of the company in one single source. BI includes multiple tools and techniques that help transform raw data into meaningful and actionable information.

How Is BI Used?

When used correctly, BI can be leveraged by many different organizational departments. For example, sales, marketing, finance, and operations departments can harness business intelligence to help guide their strategies.

For example, various teams and departments may use business intelligence for the following:

  • Data scientists and analysts: Analysts are usually very familiar with BI and use the centralized data to understand where opportunities for improvement exist and what strategic recommendations should be made to company leadership.
  • Finance: Finance departments can blend financial data with operations, marketing, and sales reporting to offer insights into which decisions make the most sense regarding profit and loss.
  • Marketing: BI can help marketers track campaign metrics and efforts from one centralized place. These systems also offer real-time tracking, measure each effort’s performance, and allow marketers to better plan for future campaigns.
  • Sales: Sales data analysts and operation managers often use BI dashboards and key performance indicators (KPIs) to quickly access complex information like discount analysis, customer profitability, and customer lifetime value.

Explore three easy ways your business can start maximizing business analytics, data management, and business intelligence for ongoing success.

1. Evaluate your data management and business intelligence ecosystem

To create a path towards success, you first need to evaluate where you currently stand. Identify how your business uses analytics to drive decisions and communicate across departments. Your marketing, sales, customer service, and other teams are all probably using data analytics in one way or another. Ask yourself if these departments are siloed or collaborative in data management and sharing.

And if you’re not using data at all but seem to be succeeding, the wave you’re riding will only last so long. Without data to drive your decisions, strategy, and path forward, you’re taking shots in the dark and guessing what will work.

As you evaluate your team and how they’re using BI currently, try to keep the following questions in mind:

  • What’s your BI vision, and do you have any? How is that vision aligned with your IT and corporate strategy?
  • Who are your BI players, and how coordinated are they? Is there function overlap?
  • How do you handle data management and data governance? How do you support BI users?
  • What factors do you use to make business decisions?

As you uncover answers about your current business processes and how your team utilizes them across departments, you should see where improvements can be made in areas that cause frustration or hold-ups.

2. Create a strategy

Deliver actionable business insights by creating a business-aligned reporting and analytics strategy. Well-designed data management processes can help your business benefit from productivity improvements, cost efficiencies, and a flexible ability to respond quickly to changing needs.

When your data is well organized and managed, you can reduce data movement, uncover performance breakdowns, and better empower your users to access the information they need in one simple click. In addition, with data management in place, companies like yours can avoid unnecessary duplications, and employees won’t conduct the same research or fulfill the same tasks repeatedly.

A company’s success depends heavily on its ability to make the right decisions quickly. If it takes too long to react to market shifts or activities of competitors, businesses are likely to lose money, miss opportunities, and fall behind the competition. The solution is in organized data, allowing decision-makers to acquire vital information faster and respond appropriately.

3. Emphasize the big picture to employees

It’s essential to train your employees to think critically and make decisions quickly. While all businesses rely on their employees to make critical decisions, in today’s fast-paced economy, it is more important than ever.

The ability to think critically involves analyzing information, interpreting its meaning, and identifying key issues. It also requires seeing both sides of an issue and evaluating the implications that different decisions can create. The ability to make quick decisions depends on how employees can weigh out the pros and cons of various options quickly and efficiently. When employees do learn these skills, businesses gain a competitive edge.

Moreover, they can help ensure that their employees are better equipped to handle the challenges of the modern workplace.

Start achieving success through data management and business intelligence today.

If you’re ready to provide real-time insights and solutions to your team, WCI Consulting can help you make that happen. Learn more about our business intelligence consulting services and how they can help grow and support your business.

Amazon Web Services Videos

WCI Consulting has become known for our experienced and professional consultants. That’s why we decided to spread the knowledge and hold bi-monthly webinars that cover a variety of topics important to our clients. Our webinars are educational Business Objects tutorial videos and are viewed by people all over the world.

From how-to’s on creating dashboards in Business Objects to tips & tricks on building universes, we’re constantly adding topics to our list. Check back often to see what’s new!

BusinessObjects 4.1 Upgrade Demos

Desk Intelligence (DeskI)
Central Management Console (CMC)

Business Intelligence and Analytics

APOS Instance Manager – Multiple Report Changes
Creating and Viewing SAP BusinessObjects Contexts in IDT (Information Design Tool)
Navigation of the Instance Manager in CMC – SAP BusinessObjects
Can you Update a Database with Webi? 

Data Management

Configuring SSL for Tomcat – A 5 Step Guide
Creating a Job in SAP Data Services