Papers by JC Bonilla
In their quest for data-driven insight, firms align
their resources to produce information that i... more In their quest for data-driven insight, firms align
their resources to produce information that is actionable.
Moreover, the bundling and utilization of these valuable
resources is what defines an organizational capability. Thus, in
this paper we conceptualize a new type of capability – data
analytics capabilities, DAC, as the ability to assemble,
coordinate, mobilize, and deploy analytics-based resources with
strategic purpose.
Using text as data, we explore the use of probabilistic topic
modeling on historical press releases, in an attempt to identify
types of DAC from successful data analytics investments. Press
and news releases frequently articulate a firm’s resource
allocation strategy, proving an opportunity to automatically
classify these into topics that can suggest categorization of DAC.
We explore 8-year historical press releases and apply Latent
Dirichlet Allocation topic modeling to 273 press releases.
Business analytics is becoming a significantly important component in businesses' toolsets for co... more Business analytics is becoming a significantly important component in businesses' toolsets for competiveness and growth. In this paper, we provide an overview of the evolution of analytics as a discipline, and describe specific applications that can be envisaged in the context of a mobile commerce environment. We then develop a preliminary conceptual model in the mobile analytics space.
Conference Presentations by JC Bonilla
– In this paper, we looked at 10 years of news articles as a way to decode strategic intent. Usin... more – In this paper, we looked at 10 years of news articles as a way to decode strategic intent. Using advanced text mining techniques, we evaluated at a cluster of 5 strategic dimensions as proxies of strategic intent-a focus on creating new capabilities to exploit future opportunities. This methodology. With this methodology we argue that strategic intent can we inferred from the historical reporting in print and online news, which may help guide attain a fit between internal resources and capabilities and external opportunities and threats. The text mining methodology introduced uses probabilistic topics models to automatically detect hidden themes from historical news articles. The paper also features a sematic correlation methodology to categorize themes in organization's strategic intent. Our analysis was able to automatically generate strategic intent depicting capabilities building for infrastructure and mobile platforms, data, and social media applications.
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Papers by JC Bonilla
their resources to produce information that is actionable.
Moreover, the bundling and utilization of these valuable
resources is what defines an organizational capability. Thus, in
this paper we conceptualize a new type of capability – data
analytics capabilities, DAC, as the ability to assemble,
coordinate, mobilize, and deploy analytics-based resources with
strategic purpose.
Using text as data, we explore the use of probabilistic topic
modeling on historical press releases, in an attempt to identify
types of DAC from successful data analytics investments. Press
and news releases frequently articulate a firm’s resource
allocation strategy, proving an opportunity to automatically
classify these into topics that can suggest categorization of DAC.
We explore 8-year historical press releases and apply Latent
Dirichlet Allocation topic modeling to 273 press releases.
Conference Presentations by JC Bonilla
their resources to produce information that is actionable.
Moreover, the bundling and utilization of these valuable
resources is what defines an organizational capability. Thus, in
this paper we conceptualize a new type of capability – data
analytics capabilities, DAC, as the ability to assemble,
coordinate, mobilize, and deploy analytics-based resources with
strategic purpose.
Using text as data, we explore the use of probabilistic topic
modeling on historical press releases, in an attempt to identify
types of DAC from successful data analytics investments. Press
and news releases frequently articulate a firm’s resource
allocation strategy, proving an opportunity to automatically
classify these into topics that can suggest categorization of DAC.
We explore 8-year historical press releases and apply Latent
Dirichlet Allocation topic modeling to 273 press releases.