The Business Intelligence Report is your destination for the latest trends and developments in the fields of analytics, big data management and governance, and AI for enterprise insights. Join host Eric Topham, CEO and cofounder of The Data Analyst Bureau, as he talks shop with some of the industry's most well-respected thought leaders, influencers and solution providers.

To close out 2023, ‘The BI Report’ will be focusing on a three-part miniseries: Your Advanced Analytics Plan, a comprehensive guide to building and implementing an effective, next-level analytics strategy. Episodes will take the audience from plan design to development and implementation, to fully equip viewers with expert guidance for a successful launch.

In the last and final Part 3, series host Gowri Selka and a guest panel of industry experts will look at what it means and entails to develop a responsible solution – not just an effective one. In today’s landscape, it is no longer enough to just build something that works. Instead, a successful program is one that also pays attention to ethical, social and corporate responsibility. For BI teams, that means looking at human ethics but also ensuring regulatory compliance, creating org policies, and sustaining improvements.

Tune into this final episode of 2023 to hear the panel walk through what a responsible analytics plan looks like in today’s business landscape – and how to make it a reality.

Your Advanced Analytics Plan: Developing a Responsible Solution

To close out 2023, ‘The BI Report’ will be focusing on a three-part miniseries: Your Advanced Analytics Plan, a comprehensive guide to building and implementing an effective, next-level analytics strategy. Episodes will take the audience from plan design to development and implementation, to fully equip viewers with expert guidance for a successful launch.

In Part 2, series host Gowri Selk and a guest panel of industry experts will look at the early stages of tactical transformation. Once the groundwork has been laid, it’s important to capitalize on this by developing a thoughtful and tailored plan that will generate impact from the beginning. To achieve this, BI teams must have the skills to identify where change must occur and know which early stage decisions should take place, so that all resources are invested in the right place.

Tune into this episode to hear the experts explain how to build a truly impactful tactical plan for early stage transformation.

Your Advanced Analytics Plan: Early Stage Tactical Transformation

Data by itself is useless; it's how we contextualize it that gives it the power to drive real change. Knowing what data to collect and how to collate it is critical for any organization looking to harness real information and intelligence from their output. If anything, we might be being bogged down by too much data, which can make it difficult to identify where the most value lies. 

The organizations that can take the right data and place it within the most meaningful context will be the ones that can mark a clear trajectory forward. By showing us where we have been – and where we have succeeded or fallen short – this data storytelling can show us where to go.

This episode will look at how BI can detect the most important stories within your data -- and how to leverage this for meaningful action.

Data Storytelling as a Solution for Change & Future Development

Data is meaningless unless it is handled in an efficient, organized way that ensures quality and accuracy. To achieve this, organizations need to introduce a consistent standard of data handling, otherwise known as a data governance protocol. By targeting such things as data integrity, data standardization and audit capabilities, BI teams can develop a system that supplies them with the best quality data so they can turn it into the most useful intelligence.

It’s now just the BI unit that wins here. BI tools can also be used to reverse engineer data protocols and strengthen governance and compliance. This technology is designed to detect patterns and sort data, making it a great tool to detect any issues with existing governance so that organizations can refine their protocol. 

In this latest episode of The BI Report, our panel will break down how BI can help strengthen data governance and regulatory compliance in a symbiotic relationship.

Data Governance & Regulatory Compliance: How BI Can Help

Quality ingredients are a must if you’re looking for quality results and this is especially true for business intelligence. In order to draw useful conclusions, BI teams must be able to look at accurate data that is relevant for their specific queries. This can be more complicated than organizations may realize, thanks to the overwhelming amounts of data that companies are producing at all times. Sorting through this data, eliminating outliers or faulty numbers, and organizing it into useful segments are all necessary steps towards ensuring data quality.

Fortunately, this is a two-way street. The right BI tools can also be used to help improve the quality of data itself, in a self-supporting cycle that strengthens each element. In this episode of the BI Report, our panel will look at how to leverage your BI solutions to boost your data worthiness.

In this episode, we’ll cover:
— Why improving data quality is so critical for BI teams 
— The Extract, Transform and Load (ETL) process and its strengths & limitations
— Using BI tools to refine data aggregation at the source
— And much more

Quality Control: Using BI Tools to Improve Data Quality

**In the wake of the great layoffs and on the cusp of the future of work, staying relevant to the skills required in organizations has become a survival technique for many corporate workers. But there is a lack of clarity for individuals wanting to develop and sustain a career in the data and analytics domain.
Our three part series intends to provide a progressive learning and development strategy for anyone interested in building a successful career in this data economy!**

Some technology skills are evergreen and others require paying close attention to the latest industry innovations. The advances that change the way we do business are also changing the skills that we need from our employees. Artificial intelligence in particular has been evolving at record pace, disrupting operations and shifting the way business intelligence functions. 

As people seek to keep pace with digital transformation and adapt their skills accordingly, it’s also on organizations to recognize how their structures might need to adapt too. The org of the future will use BI in new ways and we must prepare.

In this final installment of The BI Report’s three-part miniseries, “The People Angle,” we will recap the first two episodes and cover:
– The upcoming technology trends in BI
– The impact of AI solutions on business intelligence, from Chatbot to Google Bard
– What skills are required to address these new trends
– And much more

The People Angle: How New AI Advances are Impacting the BI Jobs of the Future

**In the wake of the great layoffs and on the cusp of the future of work, staying relevant to the skills required in organizations has become a survival technique for many corporate workers. But there is a lack of clarity for individuals wanting to develop and sustain a career in the data and analytics domain.
Our three part series intends to provide a progressive learning and development strategy for anyone interested in building a successful career in this data economy!**

As major tech companies reorganize and pivot their operations, they are focused on finding the right new hires who can help bring their business successfully into the future. Despite the recent layoffs, there are still openings for employees who can offer the right skills in business intelligence and know how to leverage AI. Anticipating these business needs can set job hunters up for a lucrative career, if they can beat out the competition.

There are several different career pathways available in BI, each with different skill requirements. Prospective employees who learn the nuances of these positions and tailor their experience to match will have a much better chance of securing a position.

In this second installment of The BI Report’s three-part miniseries, “The People Angle,” we will recap episode 1 and cover:
– How individuals can prepare for various BI positions
– What different avenues are available for BI employees
– What basic skills are required to start a career in business intelligence
– And much more

The People Angle: How to Make a Career in Business Intelligence

**In the wake of the great layoffs and on the cusp of the future of work, staying relevant to the skills required in organizations has become a survival technique for many corporate workers. But there is a lack of clarity for individuals wanting to develop and sustain a career in the data and analytics domain.
Our three part series intends to provide a progressive learning and development strategy for anyone interested in building a successful career in this data economy!**

The beginning of 2023 has seen waves of layoffs, but there are also areas of opportunity. As new artificial intelligence tools are released and adopted en masse, organizations are recognizing that it is more important than ever to work smarter, not necessarily harder. This means optimizing existing teams and figuring out a way to maximize the value of internal data through more strategic decision making. 

Business intelligence will be more critical than ever in this new landscape and when resources are restricted, recruiting the right talent can make all the difference.

In this first installment of The BI Report’s three-part miniseries, “The People Angle,” we will cover:
– What knowledge and positions will help companies best leverage the latest technology trends in BI solutions?
– How these teams typically organized
– The best ways to find these skilled resources in the marketplace
– And much more

The People Angle: How to Build a Business Intelligence Team that Drives Value

The Internet of Things (IoT) already encompasses billions of devices, and more are coming online every day. As these devices reach more consumers and enterprises, their value in personal and business life will only grow. Leveraging this value will be important for businesses across all sectors, in ways similar to previous digital transformation booms. 

The question then, isn’t whether the Internet of Things will be important for business, but how that importance differs across industries. Business intelligence will play a crucial role for companies in this space as they look to identify where the IoT fits into their specific business objectives. 

In this episode of Business Intelligence Report, we’ll discuss how business intelligence and analytics will be fundamental to capitalizing on the value created by the IoT. 

Topics for discussion include:
- The rapid expansion of the IoT, and what it looks like for businesses now
- The ways the IoT will shape business decisions and operations in the near future
- How business analytics can help companies maximize the value of this growing space 
- And more

The Internet of Things and its Expanding Business Footprint

Digital transformation has been a buzzword for years, but for many companies the process is still an ongoing one. Determining where to automate legacy processes, or digitize these systems, can often be a headache for the business leaders involved. Business intelligence helps to relieve that. BI and data can provide the insights needed to make the best decisions on what to automate, what to digitize, and when. 

In this episode of Business Intelligence Report, we’ll examine how companies can leverage business intelligence to achieve their automation and digital transformation goals. 

Topics for discussion include: 
- BI’s role in digital transformation and how to make the most of your organization’s data 
- How business intelligence can help organizations make better-informed decisions to compete in today’s digital landscape
- The ways business intelligence and data help drive digital transformation initiatives
- And more

Transformation, Automation, and how Business Intelligence Affects the Process

The importance of analytics from a business perspective is still growing, and as capabilities continue to increase, it’s fair to say that their importance will follow. Businesses use data and analytics for all kinds of decisions, from staffing, to operations, to sales, and when used correctly, those analytics bring in more revenue, efficiency, and better business decisions. 

As we enter uncertain economic times, making sound business decisions will be even more crucial. Business leaders with an eye to the future would do well to incorporate analytics and data into their decision making process, as they can provide the key insights needed to help a company navigate through the potentially turbulent times ahead. 

In this episode of Business Intelligence Report, we’ll explore the key role analytics and data play in empowering organizations to reach their business objectives. 

Topics for discussion include:
-How business analytics have evolved over the years
-The ways analytics help drive business outcomes
-What the future looks like for business analytics
-The importance of data in the modern business environment 
-And more

How Business Intelligence is Shaping the Decisions of the Future

Business Intelligence (BI) tools and technologies are constantly improving to better support organizations to improve decision-marketing across a variety of fields from sales and CX to finance. With its variety of use cases and benefits, business intelligence is a necessary software solution for organizations as they navigate through today’s digital world. 
 
BI tools have become indispensable to organizations regardless of size and industry as they need to sift through and analyze increasing amounts of data. As the BI industry evolves to better meet current demands, it’s up to The 2023 Business Intelligence Report: Looking Back & Forward with host Gowri Selka and guests to share 2023 business intelligence developments changing the industry.
 
Panelists will:
- Business Intelligence lessons observed by industry experts in 2022
- Review upcoming Business Intelligence tools and technologies to keep in mind for the upcoming year from data storytelling to decision making
- Discuss how data governance can meet data compliance and regulations in 2023
- Ongoing automation trends that enable workers to utilize data without increasing reliance on data scientists

The 2023 Business Intelligence Report: Looking Back & Forward

News sites constantly reported about the Great Resignation in 2021. Wikipedia’s page on the Great Resignation lists record-breaking resignation rates recorded in the US across various sectors throughout 2021. It was during this time where most HR departments recruiters would agree - they needed to rethink their hiring practices and they needed to do it fast.
 
In order to address critical employee shortages, organizations can turn to business intelligence and analytics to improve existing HR strategies. Join Beyond the Great Resignation: Retaining Talent with Business Intelligence as host Gowri Selka and guests examine the role of data analytics in improving talent retention and take a deeper look into the future of the workplace. This panel will explore :
- How analytics can improve workforce management to more effectively engage with talent
- How data analytics can better understand today’s employee needs and demands 
- Effective strategies organizations are utilizing to improve employee retention and attract talent

Beyond the Great Resignation: Retaining Talent with Business Intelligence

Operational and budget planning can quickly become a jumble of numbers as organizations attempt to finance next quarter’s operations. Business Intelligence (BI) software can speed out the process, automating tedious tasks such as compiling past performance data and lay out the metrics in front of you.

Adaptable budgets are essential in today’s increasingly fast-paced environment, organizations need the ability to update forecasts and prepare for unexpected scenarios. Join Streamline Budget Planning with Business Intelligence with Host Gowri Selka and guests as they delve into best BI  practices for agile, data-driven budget planning.
 
Panelists will discuss: 
- How can operational business intelligence support financial analytics and budget planning
- How HR can utilize data analytics to better understand today’s employee needs and demands 
- Effective strategies organizations are utilizing to prepare for the Future of Work

Streamline Budget Planning with Business Intelligence

Organizations are relying on increasing amounts of data to drive decisions; Gartner's "5 Key Actions for IT Leaders for Effective Decision Making" predicts that by 2025, graph technologies will be used in 80% of data and analytics to better understand their data through visual representation.
 
By combining data from multiple datasets and providing interactive visualizations, organizations can easily identify patterns and grasp concepts. Visual analytics allows organizations to interact with data visually and find hidden relationships and patterns. Join Understanding Data Through Visual Analytics with host Gowri Selka and guests to discover how visual analytics can better your organization, and what techniques and goals to set your organization for success.
 
Join us to learn more about:
- How to utilize visual analytics to learn new data patterns and valuable business insights
- Selecting the right visual analytics tool to address your business needs
- Best practices to set your organization for visual analytic success and how to avoid visualization pitfalls

Understanding Data Through Visual Analytics

"Ongoing supply chain and logistic disruptions plagued 2021, with Statistica’s ‘Share of supply chain disruptions worldwide by region 2021’ reporting 11,642 disruptions worldwide. Whilst supply chains tentatively recover in 2022, organizations are still affected by delayed deliveries and struggle to meet demands amidst ongoing and uncertain economic and worldwide factors. To accommodate ongoing supply chain challenges , organizations are turning to business intelligence solutions to streamline this complex set of business operations.
 
With the rise of business intelligence and artificial intelligence, companies are leveraging both industry and proprietary data to understand the best way to partner within the supplier network, optimize routes and manage stock to proactively meet consumer demands.

By utilizing business intelligence to manage their supply chain, organizations will be able to quickly anticipate and respond to future disruptions. In Streamline Supply Chain Operations with Business Intelligence, host Gowri Selka and guests will share how BI Tools can play a key role in streamlining your organizations’ transportation and logistics operations by anticipating potential disruptions and drafting surefire solutions.
 
Join us to learn: 
- Establishing key supply chain performance indicators to drive synergies within the supply chain ecosystem
- How demand forecasting and stock management can improve overall business outcomes
- How understanding customer data can generate useful insights on operational & risk management

Streamline Supply Chain Operations with Business Intelligence

Forrestor’s “The Future of Commerce Report: Retail Trends for 2022” reports that 50% of consumers purchase items because of personalization based on their interests. Today’s consumers are selective and knowledgeable, with immediate access to reviews and alternative online options just a click away. As modern consumers expect engaging and consistent personalized customer experiences across endless aisles, business intelligence solutions can help retail organizations step up to the challenge. 

As post-pandemic consumer expectations vary greatly from the past, organizations need to go beyond their boundaries of data and understand their consumer trends to develop the right products and services with seamless customer experience. Business intelligence can help organizations leverage customer-driven data from varying sources into meaningful and relevant insights. In Rethink CX: Business Intelligence Solutions for the Retail Industry, host Gowri Selka and guests will review best practices for business intelligence in the retail industry from improving customer segmentation to designing BI solutions that meets consumer needs.
 
Join us to learn:
- How BI platforms can support personalized data-driven retail solutions
- How predictive and prescriptive analytics can deliver business outcomes for retail industry 
- How to forecast future events and stay ahead of consumer market trends with business intelligence

Rethinking CX: Business Intelligence Solutions for the Retail Industry

To close out 2023, ‘The BI Report’ will be focusing on a three-part miniseries: Your Advanced Analytics Plan, a comprehensive guide to building and implementing an effective, next-level analytics strategy. Episodes will take the audience from plan design to development and implementation, to fully equip viewers with expert guidance for a successful launch.

In Part 1, series host Gowri Selka and a guest panel of industry experts will cover the transition to predictive analytics and what it takes from an org readiness perspective. It’s one thing to have an idea for improvement, but another to actually bring this to fruition. Creating real impact with predictive analytics relies on laying valuable foundations and setting the organization up for success. Without this, teams may waste valuable time and resources on areas that aren’t generating the results they need.

Tune into this episode to hear the panel break down how to develop a business case and explain the nuts and bolts of assessing ROI, so that BI professionals can prepare their companies for this journey.

Your Advanced Analytics Plan: Shifting from Dashboards to Predictive Analytics

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